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Endpoints47 in github.com/XiangLi1999/PrefixTuning

⨍ Functions 3,725◇ Types & classes 1,052↳ Endpoints 47

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="google/electra-sma

transformers/src/transformers/modeling_tf_electra.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="albert-base-v2",

transformers/src/transformers/modeling_tf_albert.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="transfo-xl-wt103",

transformers/src/transformers/modeling_tf_transfo_xl.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="openai-gpt",

transformers/src/transformers/modeling_tf_openai.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="google/mobilebert-

transformers/src/transformers/modeling_tf_mobilebert.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="unc-nlp/lxmert-bas

transformers/src/transformers/modeling_tf_lxmert.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="allenai/longformer

transformers/src/transformers/modeling_tf_longformer.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="bert-base-cased",

transformers/src/transformers/modeling_tf_bert.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="distilbert-base-un

transformers/src/transformers/modeling_tf_distilbert.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="roberta-base",

transformers/src/transformers/modeling_tf_roberta.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="gpt2", out

transformers/src/transformers/modeling_tf_gpt2.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="xlnet-base-cased",

transformers/src/transformers/modeling_tf_xlnet.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="jplu/tf-flaubert-s

transformers/src/transformers/modeling_tf_flaubert.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="xlm-mlm-en-2048",

transformers/src/transformers/modeling_tf_xlm.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="funnel-transformer

transformers/src/transformers/modeling_tf_funnel.py:None

replace_return_docstrings(output_type=TFSeq2SeqModelOutput, config_class=_CONFIG_FOR_DOC)

transformers/src/transformers/modeling_tf_t5.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="ctrl", out

transformers/src/transformers/modeling_tf_ctrl.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="distilbert-base-un

transformers/src/transformers/modeling_distilbert.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="ctrl", out

transformers/src/transformers/modeling_ctrl.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="xlnet-base-cased",

transformers/src/transformers/modeling_xlnet.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="facebook/bart-larg

transformers/src/transformers/modeling_bart.py:None

replace_return_docstrings(output_type=SquadHeadOutput, config_class=PretrainedConfig)

transformers/src/transformers/modeling_utils.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="flaubert/flaubert_

transformers/src/transformers/modeling_flaubert.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="xlm-mlm-en-2048",

transformers/src/transformers/modeling_xlm.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="unc-nlp/lxmert-bas

transformers/src/transformers/modeling_lxmert.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="transfo-xl-wt103",

transformers/src/transformers/modeling_transfo_xl.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="facebook/wmt19-ru-

transformers/src/transformers/modeling_fsmt.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="google/reformer-cr

transformers/src/transformers/modeling_reformer.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="bert-base-uncased"

transformers/src/transformers/modeling_bert.py:None

replace_return_docstrings(output_type=Seq2SeqLMOutput, config_class=_CONFIG_FOR_DOC)

transformers/src/transformers/modeling_encoder_decoder.py:None

replace_return_docstrings(output_type=RetrievAugLMOutput, config_class=_CONFIG_FOR_DOC)

transformers/src/transformers/modeling_rag.py:None

replace_return_docstrings(output_type=DPRContextEncoderOutput, config_class=_CONFIG_FOR_DOC)

transformers/src/transformers/modeling_dpr.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="google/bert_for_se

transformers/src/transformers/modeling_bert_generation.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="gpt2", out

transformers/src/transformers/modeling_gpt2.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="albert-base-v2",

transformers/src/transformers/modeling_albert.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="google/mobilebert-

transformers/src/transformers/modeling_mobilebert.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="gpt2", out

transformers/src/transformers/modeling_gpt2_adapter.py:None

replace_return_docstrings(output_type=Seq2SeqModelOutput, config_class=_CONFIG_FOR_DOC)

transformers/src/transformers/modeling_t5.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="openai-gpt",

transformers/src/transformers/modeling_openai.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="roberta-base",

transformers/src/transformers/modeling_roberta.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="funnel-transformer

transformers/src/transformers/modeling_funnel.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="layoutlm-base-unca

transformers/src/transformers/modeling_layoutlm.py:None

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="google/electra-sma

transformers/src/transformers/modeling_electra.py:None

replace_return_docstrings(output_type=BaseModelOutputWithPooling, config_class=_CONFIG_FOR_DOC)

transformers/src/transformers/modeling_mmbt.py:None

replace_return_docstrings(output_type=BaseModelOutputWithPooling, config_class=_CONFIG_FOR_DOC)

transformers/src/transformers/modeling_longformer.py:None

Routeforward_weighted

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="gpt2", out

transformers/src/transformers/modeling_gpt2.py:None

Routeforward_weighted

add_code_sample_docstrings( tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="gpt2", out

transformers/src/transformers/modeling_gpt2_adapter.py:None