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* First Pass All Tests Pass * WIP * Adding file to documentation tests * Change the base model for the example in the doc test. * Fix Code Styling by running make fixup * Called Style * Reverted to gpt2 model rather than distill gpt2 Then used a token classification model over a sequence model for an example. * Fix Styling Issue * Hopefully ignores the formatting issue. Co-authored-by: ArEnSc <xx.mike.chung.xx@gmail.com>
50 lines
2.5 KiB
Plaintext
50 lines
2.5 KiB
Plaintext
docs/source/en/quicktour.mdx
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docs/source/en/task_summary.mdx
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docs/source/en/model_doc/speech_to_text.mdx
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docs/source/en/model_doc/tapex.mdx
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src/transformers/generation_utils.py
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src/transformers/models/bart/modeling_bart.py
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src/transformers/models/beit/modeling_beit.py
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src/transformers/models/bert/modeling_bert.py
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src/transformers/models/bert/modeling_tf_bert.py
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src/transformers/models/bigbird_pegasus/modeling_bigbird_pegasus.py
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src/transformers/models/blenderbot/modeling_blenderbot.py
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src/transformers/models/blenderbot_small/modeling_blenderbot_small.py
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src/transformers/models/convnext/modeling_convnext.py
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src/transformers/models/data2vec/modeling_data2vec_audio.py
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src/transformers/models/deit/modeling_deit.py
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src/transformers/models/dpt/modeling_dpt.py
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src/transformers/models/glpn/modeling_glpn.py
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src/transformers/models/gpt2/modeling_gpt2.py
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src/transformers/models/hubert/modeling_hubert.py
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src/transformers/models/marian/modeling_marian.py
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src/transformers/models/mbart/modeling_mbart.py
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src/transformers/models/mobilebert/modeling_mobilebert.py
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src/transformers/models/mobilebert/modeling_tf_mobilebert.py
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src/transformers/models/pegasus/modeling_pegasus.py
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src/transformers/models/plbart/modeling_plbart.py
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src/transformers/models/poolformer/modeling_poolformer.py
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src/transformers/models/resnet/modeling_resnet.py
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src/transformers/models/roberta/modeling_roberta.py
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src/transformers/models/roberta/modeling_tf_roberta.py
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src/transformers/models/segformer/modeling_segformer.py
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src/transformers/models/sew/modeling_sew.py
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src/transformers/models/sew_d/modeling_sew_d.py
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src/transformers/models/speech_encoder_decoder/modeling_speech_encoder_decoder.py
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src/transformers/models/speech_to_text/modeling_speech_to_text.py
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src/transformers/models/speech_to_text_2/modeling_speech_to_text_2.py
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src/transformers/models/swin/modeling_swin.py
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src/transformers/models/trocr/modeling_trocr.py
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src/transformers/models/unispeech/modeling_unispeech.py
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src/transformers/models/unispeech_sat/modeling_unispeech_sat.py
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src/transformers/models/van/modeling_van.py
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src/transformers/models/vilt/modeling_vilt.py
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src/transformers/models/vision_encoder_decoder/modeling_vision_encoder_decoder.py
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src/transformers/models/vit/modeling_vit.py
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src/transformers/models/vit/modeling_tf_vit.py
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src/transformers/models/vit_mae/modeling_vit_mae.py
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src/transformers/models/wav2vec2/modeling_wav2vec2.py
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src/transformers/models/wav2vec2/tokenization_wav2vec2.py
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src/transformers/models/wav2vec2_with_lm/processing_wav2vec2_with_lm.py
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src/transformers/models/wavlm/modeling_wavlm.py
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