- 06 Mar, 2024 1 commit
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Younes Belkada authored
* add accelerate docs * Apply suggestions from code review Co-authored-by:
Loubna Ben Allal <44069155+loubnabnl@users.noreply.github.com> * Update starcoder2.md * add correct generation --------- Co-authored-by:
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- 28 Feb, 2024 1 commit
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RaymondLi0 authored
* Copy model * changes * misc * fixes * add embed and residual dropout (#30) * misc * remove rms norm and gated MLP * remove copied mentions where its not a copy anymore * remove unused _shape * copied from mistral instead * fix copies * fix copies * add not doctested * fix * fix copyright * Update docs/source/en/model_doc/starcoder2.md Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/starcoder2/configuration_starcoder2.py Co-authored-by:
Joel Lamy-Poirier <joel.lamy-poirier@servicenow.com> Co-authored-by:
younesbelkada <younesbelkada@gmail.com> Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by:
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- 04 Dec, 2023 1 commit
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jiaqiw09 authored
* translate * update * update --------- Co-authored-by:jiaqiw <wangjiaqi50@huawei.com>
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- 20 Jun, 2023 1 commit
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Sylvain Gugger authored
* Rename index.mdx to index.md * With saved modifs * Address review comment * Treat all files * .mdx -> .md * Remove special char * Update utils/tests_fetcher.py Co-authored-by:
Lysandre Debut <lysandre.debut@reseau.eseo.fr> --------- Co-authored-by:
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- 07 Mar, 2023 1 commit
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Eli Simhayev authored
* added informer to gitignore * added informer to gitignore * WIP informer2020 * added checking that instantiate works * added config using gluonTS by kashif * WIP config * adding informeConfig. need to remove FeatureEmbedder * done InformerConfig, but need to change the names * Done informer model init. working on enc-dec * added things to address, after reading again enc-dec in the paper * done modeling - checking initialization work * added informer to gitignore * WIP informer2020 * added checking that instantiate works * added config using gluonTS by kashif * WIP config * adding informeConfig. need to remove FeatureEmbedder * done InformerConfig, but need to change the names * Done informer model init. working on enc-dec * added things to address, after reading again enc-dec in the paper * done modeling - checking initialization work * moved enc-dec init to InformerEncoder/Decoder init * added 'init_std' to config, now model init works! * WIP conversion script, and added code sources * WIP conversion script: loading original informer pth works * WIP conversion script: change defaults in the config * WIP conversion script: supporting Informer input embedding * WIP conversion script: added parameters for the informer embed * WIP conversion script: change dim_feedforward=2048 * WIP conversion script: remove unused args for loading checkpoint * just cleaning up * DataEmbedding removed, after thinking with Kashif * working on forward pass * WIP forward pass: trying to establish working batch for forward pass * cleaning and finalizing * adding HF names and docs * init after cleaning works * WIP in tests * added docs for the informer specific args * fix style * undo change * cleaning informer, now need to work only enc-dec * initial enc-dec classes * added encoder and decoder * added todo * add todos for conv_layers * added decoder docs from vanilla * added encoder docs from vanilla * remove encoder decoder from the original informer * removed AttentionLayer from the original paper * removed TriangularCausalMask, same as decoder_attention_mask * initial sparse attention * use conv_layers * fixed test_config test * fix parenthesis when itearting zip(layers, conv_layers) * error found in prob attention, added sizes as comments * fix sizes * added proposal for q_reduce indexing, and remove unused * WIP ProbMask, and changed factor=2 for testing * remove unused libs for this PR for creating the env * fix checking the attn_weights.size() after bmm * Q_reduce: changed from torch.gather to simple slicing * WIP calculate final attn_output * finish adding v_aggregated, attn_output ready * changed tgt_len to u in attention_mask, need to fix the size error * comment attention_mask for encoder, and fix if cond for v_agg * added ProbMask support (wip), removed old original code * finished ProbMask
馃槂 * Revert "remove unused libs for this PR for creating the env" This reverts commit 11a081e09e92771e51a5d2758d53a9afb59547f0. * fixes * make style * fix initial tests * fix more tests * dry * make style * remove unused files * style * added integration tests * fix num_static_real_features * fix header * remove unused function * fix example * fix docs * Update src/transformers/models/informer/configuration_informer.py Co-authored-by:NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/informer/modeling_informer.py Co-authored-by:
Kashif Rasul <kashif.rasul@gmail.com> Co-authored-by:
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- 16 Feb, 2023 1 commit
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Arthur authored
* add model like clip * update * text model ok * clap text works * some refactor - `CLAPVision` to `CLAPAudio` - refactor kwargs of audio modules * more refactor * more refactor * more refactor * correct fusion * more refactor * new modules * add basic processor * fixup * remove whisper copioed from * audio logits match * add doc * correct filters mel and add maxlength * style * few fixes * forward passes * fixup * fixup * some clean up * remove mels form the dictionnary * pad after the repeat * update padding when dsmaller * fix padding * style * use swin patch merging * use copied from swin * processor with any tokenizer * more copied from * some clean up * more refactor * fix mel when rand_trunc * style * remove unused imports * update processing * remove image processing tests * add testing fiel * fixmodeling issues * replace with `is_longer` * clap in serialization * more refactor * `make fixup` * make fixup * fix feature extractor * update test feature extractor * `make fixup` * clean up config * more clean up * more cleanup * update tests * refactor tests and inits * removeCLAP vision config * remove CLAP from image procssing auto and dummy vision objects * update inits * style * re order classes in modeling clap * Use roberta tokenizer as the other weights are not open sourced * small cleaup * remove tokenization CLAP * processor tokenizr is roberta * update feature extraction doc * remove vclap from model zero shot * update f_min and f_max to frequency_xx * some changes - fix modeling keys - add `is_longer` in the forward pass - make fixup * make fixup * consistent behavior ebtween rand_crop and fusion * add numpy resize and bilinear and documentation * move resizing to image utils * clean feature extraction * import resize from correct file * resize in image transforms * update * style * style * nit * remove unused arguments form the feature extractor * style * few fixes + make fixup * oops * fix more tests * add zero shot audio classification pipeline * update zeroshot classification pipeline * fixup * fix copies * all CI tests pass * make fixup + fix docs * fix docs * fix docs * update tests pip;eline * update zero shot pipeline * update feature extraction clap * update tokenization auto * use nested simplify * update pipeline tests * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * fix model output * fix comment * make fixup * make fixup * rename to `Clap` * replace to `Clap` * replace to `Clap` * repo consistency * again repo-consistency * make fixup * Apply suggestions from code review Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * add config * changes * update conversion * Apply suggestions from code review Co-authored-by:
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