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3b742ea84c
* Add first draft * Use appropriate gelu function * More improvements * More improvements * More improvements * Convert checkpoint * More improvements * Improve docs, remove print statements * More improvements * Add link * remove unused masking function * begin tokenizer * do_lower_case * debug * set split_special_tokens=True * Remove script * Fix style * Fix rebase * Use same design as CLIP * Add fast tokenizer * Add SiglipTokenizer to init, remove extra_ids * Improve conversion script * Use smaller inputs in conversion script * Update conversion script * More improvements * Add processor to conversion script * Add tests * Remove print statements * Add tokenizer tests * Fix more tests * More improvements related to weight initialization * More improvements * Make more tests pass * More improvements * More improvements * Add copied from * Add canonicalize_text * Enable fast tokenizer tests * More improvements * Fix most slow tokenizer tests * Address comments * Fix style * Remove script * Address some comments * Add copied from to tests * Add more copied from * Add more copied from * Add more copied from * Remove is_flax_available * More updates * Address comment * Remove SiglipTokenizerFast for now * Add caching * Remove umt5 test * Add canonicalize_text inside _tokenize, thanks Arthur * Fix image processor tests * Skip tests which are not applicable * Skip test_initialization * More improvements * Compare pixel values * Fix doc tests, add integration test * Add do_normalize * Remove causal mask and leverage ignore copy * Fix attention_mask * Fix remaining tests * Fix dummies * Rename temperature and bias * Address comments * Add copied from to tokenizer tests * Add SiglipVisionModel to auto mapping * Add copied from to image processor tests * Improve doc * Remove SiglipVisionModel from index * Address comments * Improve docs * Simplify config * Add first draft * Make it like mistral * More improvements * Fix attention_mask * Fix output_attentions * Add note in docs * Convert multilingual model * Convert large checkpoint * Convert more checkpoints * Add pipeline support, correct image_mean and image_std * Use padding=max_length by default * Make processor like llava * Add code snippet * Convert more checkpoints * Set keep_punctuation_string=None as in OpenCLIP * Set normalized=False for special tokens * Fix doc test * Update integration test * Add figure * Update organization * Happy new year * Use AutoModel everywhere --------- Co-authored-by: patil-suraj <surajp815@gmail.com> |
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| .. | ||
| __init__.py | ||
| test_pipelines_audio_classification.py | ||
| test_pipelines_automatic_speech_recognition.py | ||
| test_pipelines_common.py | ||
| test_pipelines_conversational.py | ||
| test_pipelines_depth_estimation.py | ||
| test_pipelines_document_question_answering.py | ||
| test_pipelines_feature_extraction.py | ||
| test_pipelines_fill_mask.py | ||
| test_pipelines_image_classification.py | ||
| test_pipelines_image_segmentation.py | ||
| test_pipelines_image_to_image.py | ||
| test_pipelines_image_to_text.py | ||
| test_pipelines_mask_generation.py | ||
| test_pipelines_object_detection.py | ||
| test_pipelines_question_answering.py | ||
| test_pipelines_summarization.py | ||
| test_pipelines_table_question_answering.py | ||
| test_pipelines_text_classification.py | ||
| test_pipelines_text_generation.py | ||
| test_pipelines_text_to_audio.py | ||
| test_pipelines_text2text_generation.py | ||
| test_pipelines_token_classification.py | ||
| test_pipelines_translation.py | ||
| test_pipelines_video_classification.py | ||
| test_pipelines_visual_question_answering.py | ||
| test_pipelines_zero_shot_audio_classification.py | ||
| test_pipelines_zero_shot_image_classification.py | ||
| test_pipelines_zero_shot_object_detection.py | ||
| test_pipelines_zero_shot.py | ||