gitextract_qeul1y2r/

├── ADD_NEW_MODEL.md
├── BERT2BERT_for_CNN_Dailymail.ipynb
├── Boosting_Wav2Vec2_with_n_grams_in_Transformers.ipynb
├── Diffusers.ipynb
├── Distil_Whisper_Benchmark.ipynb
├── Encoder_Decoder_Model.ipynb
├── Evaluating_Big_Bird_on_TriviaQA.ipynb
├── Fine_Tune_MMS_on_Common_Voice.ipynb
├── Fine_Tune_XLSR_Wav2Vec2_on_Common_Voice.ipynb
├── Fine_Tune_XLSR_Wav2Vec2_on_Turkish_ASR_with_🤗_Transformers.ipynb
├── Fine_Tune_XLS_R_on_Common_Voice.ipynb
├── Fine_tune_Longformer_Encoder_Decoder_(LED)_for_Summarization_on_pubmed.ipynb
├── Fine_tuning_Wav2Vec2_for_English_ASR.ipynb
├── Getting_the_most_out_of_LLMs.ipynb
├── How_to_evaluate_Longformer_on_TriviaQA_using_NLP.ipynb
├── LED_on_Arxiv.ipynb
├── Leveraging_Pre_trained_Checkpoints_for_Encoder_Decoder_Models.ipynb
├── ODSC_2022_🤗_Transformers_Workshop.ipynb
├── PyTorch_Reformer.ipynb
├── README.md
├── Reformer_1_4.ipynb
├── Reformer_2_4.ipynb
├── Reformer_3_4.ipynb
├── Reformer_4_4.ipynb
├── Reformer_For_Masked_LM.ipynb
├── RoBERTaShared_for_BBC_XSum.ipynb
├── Text_Classification_on_GLUE_on_TPU_using_Jax_Flax.ipynb
├── Using_🤗_Transformers_and_🤗_Datasets_filter_customer_feedback_filtering.ipynb
├── examples/
│   └── multi_lingual_speech_recognition.ipynb
├── getting_the_most_out_of_LLMs.md
└── osdc.ipynb