merge with master #5
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* Fix reshape * Apply suggestion from code review Co-authored-by: Niels Rogge <[email protected]>
* Update delete-dev-doc job to match build-dev-doc * More debug info * More debug info * Stash if needed * Remove the comment update * Fix paths * Wtf is going on.. * Fix git status test * Try another way * I don't understand what's happening * Bash shell * What's happening now... * What's happening now... * Try like this * Back to trying to use bash * And like that? * Refine tests * Stash after adding new files * Stash after adding new files * Proper commit sha and PR number * Address review comments
* send PyTorch inputs to the correct device * Fix: TypeError: can't convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first. Co-authored-by: ydshieh <[email protected]>
* Draft * Add test * Update src/transformers/models/realm/modeling_realm.py * Apply suggestion * Add block_mask * Update * Update * Add block_embedding_to * Remove no_grad * Use AutoTokenizer * Remove model.to overridding
* Freeze FlaxWav2Vec2 Feature Encoder * add to all module apply * add backprop test
in the scoring (which is more correct)
* finish speech doc tests * finish * boom * Update src/transformers/models/speech_to_text/modeling_speech_to_text.py Co-authored-by: Sylvain Gugger <[email protected]> Co-authored-by: Sylvain Gugger <[email protected]>
* Enabling MaskFormer in ppipelines No AutoModel though :( * Ooops local file.
* Add vision models to doc tests * Apply suggestions from code review * Add more models Co-authored-by: Niels Rogge <[email protected]>
* Fix to support fast tokenizer with `CLIPProcessor` * Update CLIPProcessor test for fast tokenizer * Fix Docstring Style * Rename into meaningful Variable name in test code
Linked to #15826
Small adjustments. Adding in type hint. Last fix ? Only include the default dict thing, not the pipelines.
* Adding Flax XLM-RoBERTa * Add Flax to __init__ * Adding doc and dummy objects * Add tests * Add Flax XLM-R models autodoc * Fix tests * Add Flask XLM-RoBERTa to TEST_FILES_WITH_NO_COMMON_TESTS * Update src/transformers/models/xlm_roberta/modeling_flax_xlm_roberta.py Co-authored-by: Suraj Patil <[email protected]> * Update tests/xlm_roberta/test_modeling_flax_xlm_roberta.py Co-authored-by: Suraj Patil <[email protected]> * Update tests/xlm_roberta/test_modeling_flax_xlm_roberta.py Co-authored-by: Suraj Patil <[email protected]> * Remove test on large Flask XLM-RoBERTa * Add tokenizer to the test Co-authored-by: Suraj Patil <[email protected]>
…15918) * Do not change the output from tuple to list - to match PT's version * Fix the same issues for 5 other models and the template Co-authored-by: ydshieh <[email protected]>
* proper tests for post_process*** methods in feature extractor * mask th == 0 * Update tests/maskformer/test_feature_extraction_maskformer.py Co-authored-by: Sylvain Gugger <[email protected]> * make style Co-authored-by: Sylvain Gugger <[email protected]>
* Add typing hints for base model class * Add typing hints for causal LM model class * Add typing hints for double heads model class * Add typing hints for sequence classification model class * Add typing hints for Main Layer * Run fixup
* Added type hints for PyTorch T5 model * removed a type hint * ran make style
* Remove unused attributes * Add link to blog and add clarification about input size * Improve readability of the code Co-authored-by: Niels Rogge <[email protected]>
* 📝 first draft * 🖍 apply feedback
Co-authored-by: ydshieh <[email protected]>
* Indent Seq2Seq Train Args docs * Add Args keyword to Seq2Seq Train Args docs
* update results * per-language metrics * Format the per-language metrics
* Add Flaubert to ONNX to make it available for conversion. * Fixed features for FlauBERT. fixup command remove flaubert to docs list. Co-authored-by: ChainYo <[email protected]>
) * Add type annotations for TF Longformer * Update docstring data types to include numpy array * Implement unpack_inputs decorator * fixup after decorator updates * Numpy array -> np.ndarray in docstring Co-authored-by: Johnny Greco <[email protected]>
* First draft * Fix logits calculation * Improve tests * Add copied from statements * Fix base_model_prefix * Improve implementation, upload new models * Update design * Fix integration test * Add model to README and toctree * Add document image * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Sylvain Gugger <[email protected]> * Add decoder_hidden_size attribute * Update design of decoder * Add DepthEstimatorOutput class * Rename in_index to head_in_index and add feature extractor tests * Apply suggestions from code review * Apply suggestions from code review * Update pretrained model name and add to doc tests * Remove test.py script * Update copied from statements and clean up Co-authored-by: Niels Rogge <[email protected]> Co-authored-by: Sylvain Gugger <[email protected]>
* add xglm conversion script * style * update script
* Fix bugs for argument typo and positional embedding weight loading * Reflect code review suggestion to cover different missing keys cases
* add pt funnel type hints * add tf funnel type hints
* Add link to notebook * Add link * Fix bug Co-authored-by: Niels Rogge <[email protected]>
* Added type hinting for forward functions in pytorch marian * typo correction * Removed type hints on functions from BART per Suraj Patil request * fix import pb * fix typo * corrected tuple call * ran black * after fix-copies Some optional tags on primitives were removed, past_key_values in MarianForCausalLM changed from Tuple of Tuple to List * Fixing copies to roformer and pegasus Co-authored-by: Clementine Fourrier <[email protected]> Co-authored-by: matt <[email protected]>
* undo black autoformat * minor fix to rembert forward with default * make fix-copies, make quality * Adding types to template model * Removing List from the template types * Remove `Optional` from a couple of types that don't accept `None` Co-authored-by: matt <[email protected]>
* ✨ refactor code samples with framework-specific blocks * ✨ update training.mdx * 🖍 apply feedback
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