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  1. 02 Jul, 2024 2 commits
  3. 27 Jun, 2024 2 commits
  5. 26 Jun, 2024 3 commits
    • Raushan Turganbay's avatar
      Add LLaVa NeXT Video (#31252) · e71f2863
      Raushan Turganbay authored 
      

* squash into single commit

* run diff once more

* docstring

* tests

* minor chnages and ready to go

* Update src/transformers/models/llava_next_video/processing_llava_next_video.py
Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/vipllava/test_modeling_vipllava.py
Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>

* [run-slow] llava-next-video

* [run-slow] llava-next-video

* [run-slow] llava_next_video

* fix two tests

* fix slow tests

* remove logit checks due to numeric errors

* run test once more

* [run-slow] llava_next_video

* final try to pass the test

* [run-slow] llava_next_video

* [run-slow] llava_next_video

* [run-slow] llava_next_video

* style

* fix

* style

---------
Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: default avatarydshieh <ydshieh@users.noreply.github.com>
      e71f2863
    • Pavel Iakubovskii's avatar
      Update RT-DETR code snippet (#31631) · ac52084b
      Pavel Iakubovskii authored 
      Update code snippet
      ac52084b
    • Anton Vlasjuk's avatar
      [`GPT-NeoX`] Add SDPA support (#31031) · b07770c5
      Anton Vlasjuk authored 
      * starting support for sdpa in `gptneox` models

* small comment on tests

* fix dropout

* documentation and style

* clarify concrete paths for reference

* generalise attn projections and rope application

added head mask check to sdpa mask creation

handle sdpa memory backend bug via own version flag

* update docs and style

* move dtype casting outside of general attn_projection_and_rope function

fix flash_attn_2 stuff

* more generic attn warning if output_attns or head_mask

* simplify head mask check by moving head mask creation to a later point

* remove copied llama artifact

* remove padding_mask from attention function signature

* removing unnecessary comments, only "save" attn implementation once

* [run_slow] gpt_neox
      b07770c5
  7. 25 Jun, 2024 1 commit
    • Raushan Turganbay's avatar
      Add video modality for InstrucBLIP (#30182) · fc689d75
      Raushan Turganbay authored 
      * squash in single commit

* add docs

* dummy obj

* more changes in diff converter

* tiny fix

* make docs happy

* skip test

* repo consistency tests

* update docstring

* style

* fix tests

* change diff imports

* [run-slow] instructblipvideo

* [run-slow] instructblipvideo

* fix tests and remove logit check

* [run-slow] instructblipvideo
      fc689d75
  9. 21 Jun, 2024 1 commit
  11. 19 Jun, 2024 2 commits
  13. 11 Jun, 2024 1 commit
    • amyeroberts's avatar
      Fast image processor (#28847) · f53fe35b
      amyeroberts authored 
      

* Draft fast image processors

* Draft working fast version

* py3.8 compatible cache

* Enable loading fast image processors through auto

* Tidy up; rescale behaviour based on input type

* Enable tests for fast image processors

* Smarter rescaling

* Don't default to Fast

* Safer imports

* Add necessary Pillow requirement

* Woops

* Add AutoImageProcessor test

* Fix up

* Fix test for imagegpt

* Fix test

* Review comments

* Add warning for TF and JAX input types

* Rearrange

* Return transforms

* NumpyToTensor transformation

* Rebase - include changes from upstream in ImageProcessingMixin

* Safe typing

* Fix up

* convert mean/std to tesnor to rescale

* Don't store transforms in state

* Fix up

* Update src/transformers/image_processing_utils_fast.py
Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/auto/image_processing_auto.py
Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/auto/image_processing_auto.py
Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/auto/image_processing_auto.py
Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>

* Warn if fast image processor available

* Update src/transformers/models/vit/image_processing_vit_fast.py

* Transpose incoming numpy images to be in CHW format

* Update mapping names based on packages, auto set fast to None

* Fix up

* Fix

* Add AutoImageProcessor.from_pretrained(checkpoint, use_fast=True) test

* Update src/transformers/models/vit/image_processing_vit_fast.py
Co-authored-by: default avatarPavel Iakubovskii <qubvel@gmail.com>

* Add equivalence and speed tests

* Fix up

---------
Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: default avatarPavel Iakubovskii <qubvel@gmail.com>
      f53fe35b
  15. 10 Jun, 2024 1 commit
    • Pavel Iakubovskii's avatar
      Decorators for deprecation and named arguments validation (#30799) · 517df566
      Pavel Iakubovskii authored 
      

* Fix do_reduce_labels for maskformer image processor

* Deprecate reduce_labels in favor to do_reduce_labels

* Deprecate reduce_labels in favor to do_reduce_labels (segformer)

* Deprecate reduce_labels in favor to do_reduce_labels (oneformer)

* Deprecate reduce_labels in favor to do_reduce_labels (maskformer)

* Deprecate reduce_labels in favor to do_reduce_labels (mask2former)

* Fix typo

* Update mask2former test

* fixup

* Update segmentation examples

* Update docs

* Fixup

* Imports fixup

* Add deprecation decorator draft

* Add deprecation decorator

* Fixup

* Add deprecate_kwarg decorator

* Validate kwargs decorator

* Kwargs validation (beit)

* fixup

* Kwargs validation (mask2former)

* Kwargs validation (maskformer)

* Kwargs validation (oneformer)

* Kwargs validation (segformer)

* Better message

* Fix oneformer processor save-load test

* Update src/transformers/utils/deprecation.py
Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/utils/deprecation.py
Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/utils/deprecation.py
Co-authored-by: default avatarPablo Montalvo <39954772+molbap@users.noreply.github.com>

* Update src/transformers/utils/deprecation.py
Co-authored-by: default avatarPablo Montalvo <39954772+molbap@users.noreply.github.com>

* Better handle classmethod warning

* Fix typo, remove warn

* Add header

* Docs and `additional_message`

* Move to filter decorator ot generic

* Proper deprecation for semantic segm scripts

* Add to __init__ and update import

* Basic tests for filter decorator

* Fix doc

* Override `to_dict()` to pop depracated `_max_size`

* Pop unused parameters

* Fix trailing whitespace

* Add test for deprecation

* Add deprecation warning control parameter

* Update generic test

* Fixup deprecation tests

* Introduce init service kwargs

* Revert popping unused params

* Revert oneformer test

* Allow "metadata" to pass

* Better docs

* Fix test

* Add notion in docstring

* Fix notification for both names

* Add func name to warning message

* Fixup

---------
Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: default avatarPablo Montalvo <39954772+molbap@users.noreply.github.com>
      517df566
  17. 05 Jun, 2024 1 commit
  19. 04 Jun, 2024 1 commit
  21. 31 May, 2024 2 commits
  23. 28 May, 2024 2 commits
    • amyeroberts's avatar
      Deprecate low use models (#30781) · a564d10a
      amyeroberts authored 
      * Deprecate models
- graphormer
- time_series_transformer
- xlm_prophetnet
- qdqbert
- nat
- ernie_m
- tvlt
- nezha
- mega
- jukebox
- vit_hybrid
- x_clip
- deta
- speech_to_text_2
- efficientformer
- realm
- gptsan_japanese

* Fix up

* Fix speech2text2 imports

* Make sure message isn't indented

* Fix docstrings

* Correctly map for deprecated models from model_type

* Uncomment out

* Add back time series transformer and x-clip

* Import fix and fix-up

* Fix up with updated ruff
      a564d10a
    • NielsRogge's avatar
      [SuperPoint, PaliGemma] Update docs (#31025) · 90da0b1c
      NielsRogge authored 
      * Update docs

* Add PaliGemma resources

* Address comment

* Update docs
      90da0b1c
  25. 27 May, 2024 1 commit
  27. 23 May, 2024 1 commit
    • Aritra Roy Gosthipaty's avatar
      [Port] TensorFlow implementation of Mistral (#29708) · 965e98dc
      Aritra Roy Gosthipaty authored 
      

* chore: initial commit

* chore: adding imports and inits

* chore: adding the causal and classification code

* chore: adding names to the layers

* chore: using single self attn layer

* chore: built the model and layers

* chore: start with testing

* chore: docstring change, transpose fix

* fix: rotary embedding

* chore: adding cache implementation

* remove unused torch

* chore: fixing the indexing issue

* make fix-copies

* Use modeling_tf_utils.keras

* make fixup

* chore: fixing tests

* chore: adding past key value logic

* chore: adding multi label classfication test

* fix: switching on the built parameters in the layers

* fixing repo consistency

* ruff formats

* style changes

* fix: tf and pt equivalence

* removing returns from docstrings

* fix docstrings

* fix docstrings

* removing todos

* fix copies

* fix docstring

* fix docstring

* chore: using easier rotate_half

* adding integration tests

* chore: addressing review related to rotary embedding layer

* review changes

* [run-slow] mistral

* skip: test save load after resize token embedding

* style

---------
Co-authored-by: default avatarMatt <rocketknight1@gmail.com>
      965e98dc
  29. 22 May, 2024 2 commits
  31. 21 May, 2024 1 commit
  33. 20 May, 2024 2 commits
  35. 16 May, 2024 3 commits
    • Raushan Turganbay's avatar
      Video-LLaVa: Fix docs (#30855) · 95b3c381
      Raushan Turganbay authored 
      fix model id in docs
      95b3c381
    • NielsRogge's avatar
      [Idefics2] Improve docs, add resources (#30717) · 17cc71e1
      NielsRogge authored 
      

* Add resources

* Address comment

* Address comments

* Update docs/source/en/model_doc/idefics2.md
Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update figure

---------
Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
      17cc71e1
    • hyenal's avatar
      add sdpa to ViT [follow up of #29325] (#30555) · 1c21f48a
      hyenal authored 
      

remove blank line (+1 squashed commit)
Squashed commits:
[24ccd2061] [run-slow]vit_msn,vision_encoder_decoder (+24 squashed commits)
Squashed commits:
[08bd27e7a] [run-slow]vit_msn,vision_encoder_decoder
[ec96a8db3] [run-slow]vit_msn
[ead817eca] fix vit msn multi gpu
[d12cdc8fd] [run-slow]audio_spectrogram_transformer,deit,vision_encoder_decoder,vision_text_dual_encoder,vit,vit_hybrid,vit_mae,vit_msn,videomae,yolos
[3fdbfa88f] doc
[a3ff33e4a] finish implementation
[e20b7b7fb] Update test_modeling_common.py
[e290c5810] Update test_modeling_flax_common.py
[d3af86f46] comment
[ff7dd32d8] more comments
[59b137889] suggestion
[7e2ba6d67] attn_implementation as attribute of the class
[fe66ab71f] minor
[38642b568] Apply suggestions from code review

Accept comments
Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
[22cde7d52] Update tests/test_modeling_common.py
Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
[48e137cc6] Update tests/test_modeling_common.py
Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
[99f4c679f] Update tests/test_modeling_common.py
Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
[96cf20a6d] Update src/transformers/models/vit_msn/modeling_vit_msn.py
Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
[c59377d23] Update src/transformers/models/vit_mae/modeling_vit_mae.py
Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
[b70a47259] Update tests/models/vision_text_dual_encoder/test_modeling_vision_text_dual_encoder.py
Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
[00c84d216] [run-slow]audio_spectrogram_transformer,deit,vision_encoder_decoder,vision_text_dual_encoder,vit,vit_hybrid,vit_mae,vit_msn,videomae,yolos
[61f00ebb0] all tests are passing locally
[e9e0b82b7] vision encoder/decoder
[4d5076b56] test-vision (+20 squashed commits)
Squashed commits:
[d1add8db9] yolo
[9fde65716] fix flax
[986566c28] minor
[ca2f21d1f] vit
[3333efd7a] easy models change
[ebfc21402] [run-slow]audio_spectrogram_transformer,deit,vision_encoder_decoder,vision_text_dual_encoder,vit,vit_hybrid,vit_mae,vit_msn,videomae,yolos
[b8b8603ed] [run-slow]vision_encoder_decoder,vision_text_dual_encoder,yolos
[48ecc7e26] all tests are passing locally
[bff7fc366] minor
[62f88306f] fix yolo and text_encoder tests
[121507555] [run-slow]audio_spectrogram_transformer,deit,vit,vit_hybrid,vit_mae,vit_msn,videomae
[1064cae0a] [run-slow]vision_encoder_decoder,vision_text_dual_encoder,yolos
[b7f52ff3a] [run-slow]audio_spectrogram_transformer,deit,vit,vit_hybrid,vit_mae,vit_msn,videomae
[cffaa10dd] fix-copies
[ef6c511c4] test vit hybrid
[7d4ba8644] vit hybrid
[66f919033] [run-slow]audio_spectrogram_transformer,deit,vit,vit_hybrid,vit_mae,vit_msn,videomae
[1fcc0a031] fixes
[cfde6eb21] fixup
[e77df1ed3] all except yolo end encoder decoder (+17 squashed commits)
Squashed commits:
[602913e22] vit + vit_mae are working
[547f6c4cc] RUN_SLOW=1 pytest tests/models/audio_spectrogram_transformer/ tests/models/deit/ tests/models/videomae/  passes
[61a97dfa9] it s the complete opposite...
[aefab37d4] fix more tests
[71802a1b9] fix all torch tests
[40b12eb58] encoder - decoder tests
[941552b69] slow decorator where appropriate
[14d055d80] has_attentions to yolo and msn
[3381fa19f] add correct name
[e261316a7] repo consistency
[31c6d0c08] fixup
[9d214276c] minor fix
[11ed2e1b7] chore
[eca6644c4] add sdpa to vit-based models
[cffbf390b] make fix-copies result
[6468319b0] fix style
[d324cd02a] add sdpa for vit
Co-authored-by: default avatarLiubov Yaronskaya <luba.yaronskaya@gmail.com>
      1c21f48a
  37. 15 May, 2024 1 commit
  39. 14 May, 2024 3 commits
  41. 13 May, 2024 1 commit
    • Alazar's avatar
      Port IDEFICS to tensorflow (#26870) · 94306352
      Alazar authored 
      

* Initial commit

* Just a copy of modeling_idefics.py that will be ported to TF

* - Prepend TF to the name of all classes
- Convert pytorch ops to TF (not all operations are converted yet)

* Add TF imports

* Add autotranslated files

* Add TF classes to model_tf_auto.py

* Add the TF classes in model_doc

* include auto-translated code

* Adopted from auto-translated version

* Add a forgotten super().build

* Add test code for TF version.

* Fix indentation and load pytorch weights for now

* Some fixes. Many tests are still failing but some are passing now.

- I have added TODO's for some of the hacks I made to unblock me
  and I will address them soon
- I have the processing_idefics.py hacked in my view to support TF temporarily

* Add ALL_LAYERNORM_LAYERS to match pytorch

* Revert "Add ALL_LAYERNORM_LAYERS to match pytorch"

This reverts commit 7e0a35119b4d7a6284d04d8c543fba1b29e573c9 as it
is not needed in the tf implementation.

* Fix freeze_relevant_params()

* Some more fixes

* Fix test_attention_outputs

* Add tf stuff to processing_idefics.py

processing_idefics.py supports both pytorch and tf now.

test_processor_idefics.py for pytorch is passing, so i didn't break anything
but still some issues with tf. I also need to add tf tests in
test_processor_idefics.py.

* Pass return_tensors to image processing code and fix test

* Pass return_tensors to the image processor __init__

* Fix several test cases

- Make input to some of the forward pass of type `TFModelInputType`
- Decorate main layer forward pass with `@unpack_inputs`
- Decorate main layer with `@keras_serializable`
- Pass `inputs` to TFIdeficsModel

* Some more fixes forgotten in last commit

* Fix processing code and vision_tf.py

* Fix perceiver bug

* Import from

* Auto-add build() methods + style pass

* Fix build() errors due to `None` being passed as shape to some layers

* Change name in TFIdeficsForVisionText2Text to attribute in IdeficsForVisionText2Text

* Fix pytorch weights load for tf2

There were a lot of `name=` missing in weight initialization code.

* Attempt to fix CI

* Add back accidently removed line

* Remove torch-specific stuff from the TF test file

* make fix-copies, make style, remove autotranslated files

* Fixes to imports/docstrings

* Let's try the from future import in desperation

* Fix the core random_attention_mask fn to match the torch/flax behaviour

* Clean random_attention_mask up correctly

* Remove torch-only test

* Fix loss shape, couple of nits

* make style

* Don't test for OOB embeddings because IDEFICS uses those deliberately

* Fix loss computation to handle masking

* Fix test failures when flattening

* Fix some test failures

- Add cross attention gate which was missing and wasn't being passed arround
- Fix overwriting of image_attention_mask due to hack I had for dummy inputs

* Add a proper stateless scaled_dot_product_attention

* make style

* Adding missing attribute from the PyTorch version

* Small cleanups to decoupledlinearlayer in case that helps

* Pass epsilon to LayerNormalization

* Attemp to fix pytorch weight cross-loading for TFIdeficsEmbedding

* Fix a bug in TFIdeficsGatedCrossAttentionLayer

* Patching up build() methods

* Constant self.inv_freq

* Constant self.inv_freq

* First working version

The TF implementation works now, there was a bug in the TFIdeficsDecoupledLinear
where the weights were mis-intialized (in_features,out_features)
when it should be: (out_features, in_features)

I have tested this so far with tiny-random and idefics-9b-instruct
and gives correct output.

I also dumped the final outputs for both pytorch and TF
and they are identical.

* Fix some test failures

* remove print statement

* Fix return_tensors

* Fix CI test failure check_code_quality

* Attempt to fix CI failures by running `make fixup`

The hardcoded IDs in test_modeling_tf_idefics.py are for the integration
test and makes that file unreadable and should probably be moved to a seperate file.

* Attempt to fix tests_pr_documentation_tests

* Fix a test failure in test_image_processing_idefics.py

* Fix test test_pt_tf_model_equivalence

* Fix a few failures

* Tiny fix

* Some minor fixes

* Remove a duplicate test

* Override a few test failures for IDEFICS

- `test_keras_save_load` is passing now
- `test_compile_tf_model` is still failing

* Fix processing_idefics.py after rebase

* Guard import keras with is_tf_available

* fix check code quality

* fix check code quality

* Minor fixes

* Skip test_save_load temporarily

This test passed on my local box but fails on the CI, skipping
for now to see if there are other remaining failures on the CI.

* Run `ruff format tests src utils`

* Fix last failing test, `test_compile_tf_model`

* Add fixes for vision_tf.py

I forgot to add this file in last commit.

* Minor fixes

* Replace "<<<" with "<<" for doc tests

IDEFICS-9B is too big for doctest runner, so don't run it there

* Make code more readable

* Fix bug after code review

I added a layer_norm_eps to IdeficsConfig but I don't even need it
since the vision config has a layer_norm_eps.

* Fix after code review

Use original code tokenizer.convert_tokens_to_ids

* Keep PyTorch as the default return_tensors

* Fixes to modeling_tf after code review

* Fixes from code review

- Remove all references of `TF_IDEFICS_PRETRAINED_MODEL_ARCHIVE_LIST`
- Pass 1e-5 to LayerNormalization in perceiver

* Run ruff

* Undo a change

* Refactor processing code after Matt's suggestion

* Remove TODO's that aren't needed anymore

* For pytorch, Use original pytorch processing code from main

Since this PR is a TF port it shouldn't make any modifications
to pytorch IDEFICS code. This changes undo's the pytorch processing
modifications I made and uses original code from main.

* Update tests/models/idefics/test_modeling_idefics.py

* Update tests/models/idefics/test_modeling_tf_idefics.py

* Add missing imports for is_pt_tf_cross_test

* [DO NOT MERGE]: This is a commit for debugging and will be reverted

The cross test `test_pt_tf_model_equivalence` passes locally but
fails when running on the CI. This commit is to help debug that
and will be reverted.

* Revert "[DO NOT MERGE]: This is a commit for debugging and will be reverted"

This reverts commit 8f0d709ec5bd46685fb0b4259d914ffee794875b.

* [DO NOT MERGE]: This commit is for debugging a CI failure and will be reverted

* [DO NOT MERGE]: This commit is for debugging a CI failure and will be reverted

* Revert "[DO NOT MERGE]: This commit is for debugging a CI failure and will be reverted"

This reverts commit 998cc38b8c3d313bf5e5eb55a7f5b7b881897b89.

* Revert "[DO NOT MERGE]: This commit is for debugging a CI failure and will be reverted"

This reverts commit 1c695ac4219c4ae4d39b330b01744dc27deb7dd4.

* Don't skip test_save_load

IIRC test_save_load was also failing on the CI but not on my local
box, it might be easier to debug that on the CI first than the cross tests

* Debugging commit, will be reverted

* Revert "Debugging commit, will be reverted"

This reverts commit 8eafc8e41e20c4e95a3a90834f06a6e9f445e2d5.

* Override `test_save_load` and push model to save

Maybe this will help me repro this weird bug

* pass my repo_id

* add endpoint

* Pass a temp (write) token just for this CI

* Undo last few commits, still pushing to hub for model debugging

The issue seems to be with save_pretrained(),  when I looked at the model saved
from the CI test failure it is basically empty and has no weights.
`self.save_weights(..)` seems to be failing in save_pretrained but needs
more debugging

* Add logging to modeling tf utils, will be reverted just for debugging

* Debugging, will revert

* Revert "Debugging, will revert"

This reverts commit 9d0d3075fb7c82d8cde3a5c76bc8f3876c5c55d3.

* Revert "Add logging to modeling tf utils, will be reverted just for debugging"

This reverts commit 774b6b7b1c17b3ce5d7634ade768f2f686cee617.

* Remove `test_save_load`

The CI failures are gone after my latest rebase, no idea why
but I was still saving the model to my hub on HF and the tf_model.h5
file now has everything.

* Run make fix-copies

* Run ruff format tests src utils

* Debugging commit, will be reverted

* Run ruff, also trigger CI run

* Run ruff again

* Undo debugging commit

---------
Co-authored-by: default avatarMatt <rocketknight1@gmail.com>
Co-authored-by: default avatarMatt <Rocketknight1@users.noreply.github.com>
      94306352
  43. 10 May, 2024 1 commit
  45. 09 May, 2024 1 commit
  47. 08 May, 2024 1 commit
    • Pavel Iakubovskii's avatar
      Add examples for detection models finetuning (#30422) · 998dbe06
      Pavel Iakubovskii authored 
      

* Training script for object detection

* Evaluation script for object detection

* Training script for object detection with eval loop outside trainer

* Trainer DETR finetuning

* No trainer DETR finetuning

* Eval script

* Refine object detection example with trainer

* Remove commented code and enable telemetry

* No trainer example

* Add requirements for object detection examples

* Add test for trainer example

* Readme draft

* Fix uploading to HUB

* Readme improvements

* Update eval script

* Adding tests for object-detection examples

* Add object-detection example

* Add object-detection resources to docs

* Update README with custom dataset instructions

* Update year

* Replace valid with validation

* Update instructions for custom dataset

* Remove eval script

* Remove use_auth_token

* Add copied from and telemetry

* Fixup

* Update readme

* Fix id2label

* Fix links in docs

* Update examples/pytorch/object-detection/run_object_detection.py
Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update examples/pytorch/object-detection/run_object_detection.py
Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Move description to the top

* Fix Trainer example

* Update no trainer example

* Update albumentations version

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Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>
      998dbe06
  49. 06 May, 2024 1 commit
  51. 02 May, 2024 1 commit
  53. 26 Apr, 2024 1 commit