- ..
- .ipynb_checkpoints
- benchmark
- commands
- data
- models
- onnx
- pipelines
- sagemaker
- utils
- __init__.py
- activations.py
- activations_tf.py
- configuration_utils.py
- convert_graph_to_onnx.py
- convert_pytorch_checkpoint_to_tf2.py
- convert_slow_tokenizer.py
- convert_slow_tokenizers_checkpoints_to_fast.py
- convert_tf_hub_seq_to_seq_bert_to_pytorch.py
- debug_utils.py
- deepspeed.py
- dependency_versions_check.py
- dependency_versions_table.py
- feature_extraction_sequence_utils.py
- feature_extraction_utils.py
- file_utils.py
- generation_beam_search.py
- generation_flax_logits_process.py
- generation_flax_utils.py
- generation_logits_process.py
- generation_stopping_criteria.py
- generation_tf_utils.py
- generation_utils.py
- hf_argparser.py
- image_utils.py
- integrations.py
- keras_callbacks.py
- modelcard.py
- modeling_flax_outputs.py
- modeling_flax_pytorch_utils.py
- modeling_flax_utils.py
- modeling_outputs.py
- modeling_tf_outputs.py
- modeling_tf_pytorch_utils.py
- modeling_tf_utils.py
- modeling_utils.py
- optimization.py
- optimization_tf.py
- py.typed
- testing_utils.py
- tokenization_utils.py
- tokenization_utils_base.py
- tokenization_utils_fast.py
- trainer.py
- trainer_callback.py
- trainer_pt_utils.py
- trainer_seq2seq.py
- trainer_tf.py
- trainer_utils.py
- training_args.py
- training_args_seq2seq.py
- training_args_tf.py