GitLab

fix
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Replace -100s in predictions by the pad token

* Style

* Try to catch them all

fix
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Clarify stride option

* formatting

Move labels to same device as logits

* Make it easier to develop without a dev install

* Remove ugly hack that doesn't work anyway

fix
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

Model parallelism correct labels device

* add GPTNeoXForSequenceClassification

* move the labels to logits.device (ref: #22561)

* fix

* Make dynamic code work with offline mode

* Clean up

* Quality

BrideTower Model parallelism logits device for loss calculation

* Add model with cli tool

* Remove unwanted stuff

* Add new code

* Remove inference runner

* Style

* Fix checks

* Test updates

* make fixup

* fix docs

* fix doc

* fix test

* hopefully fix pipeline tests

* refactor

* fix CIs

* add comment

* rename to `GPTBigCodeForCausalLM`

* correct readme

* make fixup + docs

* make fixup

* fixes

* fixes

* Remove pruning

* Remove import

* Doc updates

* More pruning removal

* Combine copies

* Single MQA implementation, remove kv cache pre-allocation and padding

* Update doc

* Revert refactor to match gpt2 style

* Merge back key and value caches, fix some type hints

* Update doc

* Fix position ids pith padding (PR 21080)

* Add conversion script temporarily

* Update conversion script

* Remove checkpoint conversion

* New model

* Fix MQA test

* Fix copies

* try fix tests

* FIX TEST!!

* remove  `DoubleHeadsModel`

* add MQA tests

* add slow tests

* clean up

* add CPU checker

* final fixes

* fixes

- fix GPU issue
- fixed slow tests
- skip disk offload

* fix final issue

* Simplify and comment baddbmm fix

* Remove unnecessary code

* Transpose tweaks

* Use beta=1 on cpu, improve tests

---------
Co-authored-by: younesbelkada <younesbelkada@gmail.com>

moved labels to the same device as logits for BLOOM, GPT Neo, GPT NeoX, RoBERTa and VIT models (#22663)

moved labels to the same device as logits

add API warning

* Fix default attention mask size

* fixup

* add a test to make sure that even if attention mask are not provided, works

* style

* do not push special file

* Update src/transformers/tokenization_utils_base.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

---------
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Small nit,
Fixes #21986

* Update src/transformers/pipelines/__init__.py

docs: feat: Korean pipeline_tutorial
Co-authored-by: Jungnerd <46880056+jungnerd@users.noreply.github.com>
Co-authored-by: Hyeonseo Yun <0525_hhgus@naver.com>
Co-authored-by: gabrielwithappy <102908949+gabrielwithappy@users.noreply.github.com>
Co-authored-by: Na Yeon Han <nayeon2.han@gmail.com>

* fix

---------
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* (feat): Move labels to the same device as logits

* Trigger CI

* Trigger CI

* Trigger CI

* (feat): Making changes for Blip2

translate the autoclass_tutorial and fix the typo of the quicktour

fix fsdp

* Update tiny model summary file for recent models

---------
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

fix slow tests and doctests

add safety checker

* Auto. add and update pipeline_model_mapping

* Fix style and quality

* Finalize (comments)

* fix

---------
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Add TFBlipForConditionalGeneration

* update pipeline_model_mapping

* Add import

* Revert changes in GPTSanJapaneseTest

---------
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

fix broken link

* Final Tiny things

---------
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Add out_indices to backbones, deprecate out_features

* Update - can specify both out_features and out_indices but not both

* Add backbone mixin tests

* Test tidy up

* Add test_backbone for convnext

* Remove redefinition of method

* Update for Dinat and Nat backbones

* Update tests

* Smarter indexing

* Add checks on config creation for backbone

* PR comments

* Adding Llama FastTokenizer support.

- Requires https://github.com/huggingface/tokenizers/pull/1183 version
- Only support byte_fallback for llama, raise otherwise (safety net).
- Lots of questions are special tokens

How to test:

```python

from transformers.convert_slow_tokenizer import convert_slow_tokenizer
from transformers import AutoTokenizer
from tokenizers import Tokenizer

tokenizer = AutoTokenizer.from_pretrained("huggingface/llama-7b")

if False:
    new_tokenizer = Tokenizer.from_file("tok.json")
else:
    new_tokenizer = convert_slow_tokenizer(tokenizer)
    new_tokenizer.save("tok.json")

strings = [
    "This is a test",
    "生活的真谛是",
    "生活的真谛是[MASK]。",
    # XXX: This one is problematic because of special tokens
    # "<s> Something something",
]

for string in strings:
    encoded = tokenizer(string)["input_ids"]
    encoded2 = new_tokenizer.encode(string).ids

    assert encoded == encoded2, f"{encoded} != {encoded2}"

    decoded = tokenizer.decode(encoded)
    decoded2 = new_tokenizer.decode(encoded2)

    assert decoded.strip() == decoded2, f"{repr(decoded)} != {repr(decoded2)}"
```

The converter + some test script.

The test script.

Tmp save.

Adding Fast tokenizer + tests.

Adding the tokenization tests.

Correct combination.

Small fix.

Fixing tests.

Fixing with latest update.

Rebased.

fix copies + normalized added tokens  + copies.

Adding doc.

TMP.

Doc + split files.

Doc.

Versions + try import.

Fix Camembert + warnings -> Error.

Fix by ArthurZucker.

Not a decorator.

* Fixing comments.

* Adding more to docstring.

* Doc rewriting.