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![]() * 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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.. | ||
internal | ||
main_classes | ||
model_doc | ||
tasks | ||
_config.py | ||
_redirects.yml | ||
_toctree.yml | ||
accelerate.md | ||
add_new_model.md | ||
add_new_pipeline.md | ||
add_tensorflow_model.md | ||
attention.md | ||
autoclass_tutorial.md | ||
benchmarks.md | ||
bertology.md | ||
big_models.md | ||
chat_templating.md | ||
community.md | ||
contributing.md | ||
create_a_model.md | ||
custom_models.md | ||
custom_tools.md | ||
debugging.md | ||
fast_tokenizers.md | ||
fsdp.md | ||
generation_strategies.md | ||
glossary.md | ||
hpo_train.md | ||
index.md | ||
installation.md | ||
llm_tutorial_optimization.md | ||
llm_tutorial.md | ||
model_memory_anatomy.md | ||
model_sharing.md | ||
model_summary.md | ||
multilingual.md | ||
notebooks.md | ||
pad_truncation.md | ||
peft.md | ||
perf_hardware.md | ||
perf_infer_cpu.md | ||
perf_infer_gpu_one.md | ||
perf_torch_compile.md | ||
perf_train_cpu_many.md | ||
perf_train_cpu.md | ||
perf_train_gpu_many.md | ||
perf_train_gpu_one.md | ||
perf_train_special.md | ||
perf_train_tpu_tf.md | ||
performance.md | ||
perplexity.md | ||
philosophy.md | ||
pipeline_tutorial.md | ||
pipeline_webserver.md | ||
pr_checks.md | ||
preprocessing.md | ||
quantization.md | ||
quicktour.md | ||
run_scripts.md | ||
sagemaker.md | ||
serialization.md | ||
task_summary.md | ||
tasks_explained.md | ||
testing.md | ||
tf_xla.md | ||
tflite.md | ||
tokenizer_summary.md | ||
torchscript.md | ||
trainer.md | ||
training.md | ||
transformers_agents.md | ||
troubleshooting.md |