HuggingFace_transformer

commands

refine transformers env output (#38274 )

2025-05-22 15:22:18 +02:00

data

Force torch>=2.6 with torch.load to avoid vulnerability issue (#37785 )

2025-04-25 16:57:09 +02:00

generation

Never fallback to eager implicitly (#38327 )

2025-05-23 19:48:01 +02:00

integrations

Never fallback to eager implicitly (#38327 )

2025-05-23 19:48:01 +02:00

kernels

Use deformable_detr kernel from the Hub (#36853 )

2025-03-21 13:08:47 +01:00

loss

Add CSM model (#36719 )

2025-05-07 10:20:13 -04:00

models

[OPT] Fix attention scaling (#38290 )

2025-05-26 11:02:16 +02:00

onnx

Add Optional to remaining types (#37808 )

2025-04-28 14:20:45 +01:00

pipelines

[whisper] move processor test into processor test file 🧹 (#38266 )

2025-05-22 10:07:11 +01:00

quantizers

switch to device agnostic device calling for test cases (#38247 )

2025-05-26 10:18:53 +02:00

sagemaker

…

utils

Add CB (#38085 )

2025-05-22 17:43:48 +02:00

__init__.py

🚨🚨[core] Completely rewrite the masking logic for all attentions (#37866 )

2025-05-22 11:38:26 +02:00

activations_tf.py

…

activations.py

Remove old code for PyTorch, Accelerator and tokenizers (#37234 )

2025-04-10 20:54:21 +02:00

audio_utils.py

Add CSM model (#36719 )

2025-05-07 10:20:13 -04:00

cache_utils.py

Fix some tests (especially compile with fullgraph=True on Python<3.11) (#38319 )

2025-05-23 17:11:40 +02:00

configuration_utils.py

🚨Early-error🚨 config will error out if output_attentions=True and the attn implementation is wrong (#38288 )

2025-05-23 17:17:38 +02:00

convert_graph_to_onnx.py

Update ruff to 0.11.2 (#36962 )

2025-03-25 16:00:11 +01:00

convert_pytorch_checkpoint_to_tf2.py

Set weights_only in torch.load (#36991 )

2025-03-27 14:55:50 +00:00

convert_slow_tokenizer.py

Add optional RMSNorm support to BitNet quantization (config + layers) (#38087 )

2025-05-16 12:38:06 +02:00

convert_slow_tokenizers_checkpoints_to_fast.py

Use pyupgrade --py39-plus to improve code (#36843 )

2025-03-20 14:39:44 +00:00

convert_tf_hub_seq_to_seq_bert_to_pytorch.py

Use pyupgrade --py39-plus to improve code (#36843 )

2025-03-20 14:39:44 +00:00

debug_utils.py

Fix typos in comments (#37694 )

2025-04-24 15:59:56 +01:00

dependency_versions_check.py

…

dependency_versions_table.py

Add CB (#38085 )

2025-05-22 17:43:48 +02:00

dynamic_module_utils.py

[generate] Run custom generation code from the Hub (#36405 )

2025-05-15 10:35:54 +01:00

feature_extraction_sequence_utils.py

Use pyupgrade --py39-plus to improve code (#36843 )

2025-03-20 14:39:44 +00:00

feature_extraction_utils.py

[2/N] Use pyupgrade --py39-plus to improve code (#36857 )

2025-03-24 15:42:25 +00:00

file_utils.py

[core] Large/full refactor of from_pretrained (#36033 )

2025-03-12 13:39:25 +01:00

hf_argparser.py

Fix Optional type annotation (#36841 )

2025-03-26 13:53:44 +00:00

hyperparameter_search.py

Fix Optional type annotation (#36841 )

2025-03-26 13:53:44 +00:00

image_processing_base.py

update comment in image_processing_base.py to reference image_process… (#37864 )

2025-04-30 14:31:29 +01:00

image_processing_utils_fast.py

Add args support for fast image processors (#37018 )

2025-05-16 12:01:46 -04:00

image_processing_utils.py

Add Optional to remaining types (#37808 )

2025-04-28 14:20:45 +01:00

image_transforms.py

🔴 Video processors as a separate class (#35206 )

2025-05-12 11:55:51 +02:00

image_utils.py

🔴 Video processors as a separate class (#35206 )

2025-05-12 11:55:51 +02:00

keras_callbacks.py

Use pyupgrade --py39-plus to improve code (#36843 )

2025-03-20 14:39:44 +00:00

masking_utils.py

Fix all import errors based on older torch versions (#38370 )

2025-05-26 12:11:54 +02:00

model_debugging_utils.py

Adds use_repr to model_addition_debugger_context (#37984 )

2025-05-23 09:35:13 +00:00

modelcard.py

fix: Add 'image-text-to-text' to TASK_MAPPING (#37107 )

2025-04-02 14:51:03 +02:00

modeling_attn_mask_utils.py

🚨🚨[core] Completely rewrite the masking logic for all attentions (#37866 )

2025-05-22 11:38:26 +02:00

modeling_flash_attention_utils.py

Add CB (#38085 )

2025-05-22 17:43:48 +02:00

modeling_flax_outputs.py

Add Optional to types (#37163 )

2025-04-03 16:38:01 +01:00

modeling_flax_pytorch_utils.py

fix dead flax links modeling_flax_pytorch_utils.py (#38212 )

2025-05-20 13:03:41 +00:00

modeling_flax_utils.py

Support FlaxPreTrainedModel to load model checkpoint from local subfolder safetensors (#37732 )

2025-04-30 16:13:23 +02:00

modeling_gguf_pytorch_utils.py

Support loading Gemma3 QAT GGUF models (#37649 )

2025-04-22 11:23:17 +02:00

modeling_layers.py

Introduce GradientCheckpointingLayer (#37223 )

2025-04-22 11:33:31 +01:00

modeling_outputs.py

Fix past_key_values type hint in model output types (#37953 )

2025-05-13 13:36:49 +00:00

modeling_rope_utils.py

Update composition flag usage (#36263 )

2025-04-09 11:48:49 +02:00

modeling_tf_outputs.py

Add Optional to types (#37163 )

2025-04-03 16:38:01 +01:00

modeling_tf_pytorch_utils.py

fix(conversion): Fix size mismatch error during TF->PT model loading (#38014 )

2025-05-10 11:11:07 +00:00

modeling_tf_utils.py

Fix typos in comments (#37694 )

2025-04-24 15:59:56 +01:00

modeling_utils.py

Fix all import errors based on older torch versions (#38370 )

2025-05-26 12:11:54 +02:00

optimization_tf.py

Fix Optional type annotation (#36841 )

2025-03-26 13:53:44 +00:00

optimization.py

fix: Propagate lr_scheduler_kwargs options to create LR Scheduler when LayerWiseDummyOptimizer is used (#34559 )

2025-05-13 13:56:45 +02:00

processing_utils.py

🔴 Video processors as a separate class (#35206 )

2025-05-12 11:55:51 +02:00

py.typed

Add py.typed (#37022 )

2025-04-02 14:17:27 +01:00

pytorch_utils.py

Feat: save_pretrained for tensor parallel (and other parallelisms) models (#37919 )

2025-05-19 18:16:21 +00:00

safetensors_conversion.py

…

testing_utils.py

enable misc cases on XPU & use device agnostic APIs for cases in tests (#38192 )

2025-05-20 10:09:01 +02:00

tf_utils.py

Add Optional to types (#37163 )

2025-04-03 16:38:01 +01:00

time_series_utils.py

Use pyupgrade --py39-plus to improve code (#36843 )

2025-03-20 14:39:44 +00:00

tokenization_utils_base.py

fix the inconsist docstring in apply_chat_template (#38069 )

2025-05-12 16:32:01 +01:00

tokenization_utils_fast.py

refactor can_save_slow_tokenizer (#37722 )

2025-05-23 17:29:38 +02:00

tokenization_utils.py

Add Optional to types (#37163 )

2025-04-03 16:38:01 +01:00

trainer_callback.py

Fix Optional type annotation (#36841 )

2025-03-26 13:53:44 +00:00

trainer_pt_utils.py

Remove Deprecated verbose arg in LayerWiseDummyScheduler (#38197 )

2025-05-19 13:49:11 +00:00

trainer_seq2seq.py

[generation] Less verbose warnings by default (#38179 )

2025-05-19 10:03:37 +00:00

trainer_utils.py

update seed_worker to set seed based on worker_id and rank (#37980 )

2025-05-12 15:59:16 +00:00

trainer.py

Make train_dataset attribute in _get_train_sampler optional (#38226 )

2025-05-20 12:59:53 +00:00

training_args_seq2seq.py

…

training_args_tf.py

Use pyupgrade --py39-plus to improve code (#36843 )

2025-03-20 14:39:44 +00:00

training_args.py

More typing in src/transformers/training_args.py (#38106 )

2025-05-22 13:14:33 +02:00

video_processing_utils.py

🔴 Video processors as a separate class (#35206 )

2025-05-12 11:55:51 +02:00

video_utils.py

🔴 Video processors as a separate class (#35206 )

2025-05-12 11:55:51 +02:00