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Endpoints539 in github.com/cedrickchee/transformers-llama

Routeforward
replace_return_docstrings(output_type=ViTMAEModelOutput, config_class=_CONFIG_FOR_DOC)
src/transformers/models/vit_mae/modeling_vit_mae.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutputWithPas
src/transformers/models/roformer/modeling_roformer.py:None
Routeforward
replace_return_docstrings(output_type=BaseModelOutputWithPoolingAndCrossAttentions, config_class=AlignTextConf
src/transformers/models/align/modeling_align.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutputWithPoo
src/transformers/models/efficientformer/modeling_efficientformer.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutputWithPas
src/transformers/models/nystromformer/modeling_nystromformer.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutput,
src/transformers/models/glpn/modeling_glpn.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=Seq2SeqModelOutput,
src/transformers/models/fsmt/modeling_fsmt.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutputWithPoo
src/transformers/models/squeezebert/modeling_squeezebert.py:None
Routeforward
replace_return_docstrings(output_type=BaseModelOutput, config_class=_CONFIG_FOR_DOC)
src/transformers/models/vit_msn/modeling_vit_msn.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutputWithPoo
src/transformers/models/yolos/modeling_yolos.py:None
Routeforward
replace_return_docstrings(output_type=Seq2SeqModelOutput, config_class=_CONFIG_FOR_DOC)
src/transformers/models/marian/modeling_marian.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutputWithPoo
src/transformers/models/levit/modeling_levit.py:None
Routeforward
replace_return_docstrings(output_type=BaseModelOutputWithPooling, config_class=_CONFIG_FOR_DOC)
src/transformers/models/vilt/modeling_vilt.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=XLNetModelOutput,
src/transformers/models/xlnet/modeling_xlnet.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutputWithCLS
src/transformers/models/cvt/modeling_cvt.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutput,
src/transformers/models/swin2sr/modeling_swin2sr.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutput,
src/transformers/models/xlm/modeling_xlm.py:None
Routeforward
replace_return_docstrings(output_type=RetrievAugLMOutput, config_class=_CONFIG_FOR_DOC)
src/transformers/models/rag/modeling_rag.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutput,
src/transformers/models/flaubert/modeling_flaubert.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutputWithPoo
src/transformers/models/xlm_roberta/modeling_xlm_roberta.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutputWithPas
src/transformers/models/bert_generation/modeling_bert_generation.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutputWithPoo
src/transformers/models/dpt/modeling_dpt.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutputWithPoo
src/transformers/models/mobilevit/modeling_mobilevit.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutputWithPas
src/transformers/models/biogpt/modeling_biogpt.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutput,
src/transformers/models/distilbert/modeling_distilbert.py:None
Routeforward
replace_return_docstrings(output_type=Seq2SeqModelOutput, config_class=_CONFIG_FOR_DOC)
src/transformers/models/blenderbot_small/modeling_blenderbot_small.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=Wav2Vec2BaseModelOutpu
src/transformers/models/unispeech_sat/modeling_unispeech_sat.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=TransfoXLModelOutput,
src/transformers/models/transfo_xl/modeling_transfo_xl.py:None
Routeforward
replace_return_docstrings(output_type=BaseModelOutputWithPooling, config_class=_CONFIG_FOR_DOC)
src/transformers/models/visual_bert/modeling_visual_bert.py:None
Routeforward
replace_return_docstrings(output_type=BaseModelOutput, config_class=_CONFIG_FOR_DOC)
src/transformers/models/prophetnet/modeling_prophetnet.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutputWithPas
src/transformers/models/gptj/modeling_gptj.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutputWithPas
src/transformers/models/codegen/modeling_codegen.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutputWithPas
src/transformers/models/opt/modeling_opt.py:None
Routeforward
replace_return_docstrings(output_type=CausalLMOutputWithCrossAttentions, config_class=_CONFIG_FOR_DOC)
src/transformers/models/trocr/modeling_trocr.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutputWithPoo
src/transformers/models/qdqbert/modeling_qdqbert.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutputWithPas
src/transformers/models/gpt2/modeling_gpt2.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutputWithCro
src/transformers/models/convbert/modeling_convbert.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutputWithCro
src/transformers/models/electra/modeling_electra.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutputWithPoo
src/transformers/models/efficientnet/modeling_efficientnet.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutputWithPas
src/transformers/models/bloom/modeling_bloom.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=LxmertModelOutput,
src/transformers/models/lxmert/modeling_lxmert.py:None
Routeforward
add_code_sample_docstrings( checkpoint="funnel-transformer/small-base", output_type=BaseModelO
src/transformers/models/funnel/modeling_funnel.py:None
Routeforward
replace_return_docstrings(output_type=BaseModelOutputWithPooling, config_class=XCLIPTextConfig)
src/transformers/models/x_clip/modeling_x_clip.py:None
Routeforward
replace_return_docstrings(output_type=MaskFormerModelOutput, config_class=_CONFIG_FOR_DOC)
src/transformers/models/maskformer/modeling_maskformer.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=SwinModelOutput,
src/transformers/models/swin/modeling_swin.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutputWithPoo
src/transformers/models/regnet/modeling_regnet.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=CanineModelOutputWithP
src/transformers/models/canine/modeling_canine.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutput,
src/transformers/models/sew/modeling_sew.py:None
Routeforward
replace_return_docstrings(output_type=BaseModelOutputWithPoolingAndCrossAttentions, config_class=_CONFIG_FOR_D
src/transformers/models/layoutlm/modeling_layoutlm.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=Seq2SeqModelOutput,
src/transformers/models/mbart/modeling_mbart.py:None
Routeforward
replace_return_docstrings(output_type=Seq2SeqModelOutput, config_class=_CONFIG_FOR_DOC)
src/transformers/models/mt5/modeling_mt5.py:None
Routeforward
replace_return_docstrings(output_type=DetrModelOutput, config_class=_CONFIG_FOR_DOC)
src/transformers/models/detr/modeling_detr.py:None
Routeforward
replace_return_docstrings(output_type=CLIPOutput, config_class=_CONFIG_FOR_DOC)
src/transformers/models/vision_text_dual_encoder/modeling_vision_text_dual_encoder.py:None
Routeforward
replace_return_docstrings(output_type=Seq2SeqModelOutput, config_class=_CONFIG_FOR_DOC)
src/transformers/models/t5/modeling_t5.py:None
Routeforward
replace_return_docstrings(output_type=DeformableDetrModelOutput, config_class=_CONFIG_FOR_DOC)
src/transformers/models/deformable_detr/modeling_deformable_detr.py:None
Routeforward
replace_return_docstrings(output_type=Seq2SeqModelOutput, config_class=_CONFIG_FOR_DOC)
src/transformers/models/longt5/modeling_longt5.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutputWithPoo
src/transformers/models/van/modeling_van.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutputWithPoo
src/transformers/models/convnext/modeling_convnext.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=BaseModelOutputWithPoo
src/transformers/models/vit_hybrid/modeling_vit_hybrid.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=Seq2SeqModelOutput,
src/transformers/models/m2m_100/modeling_m2m_100.py:None
Routeforward
replace_return_docstrings(output_type=Seq2SeqLMOutput, config_class=_CONFIG_FOR_DOC)
src/transformers/models/speech_encoder_decoder/modeling_speech_encoder_decoder.py:None
Routeforward
add_code_sample_docstrings( checkpoint=_CHECKPOINT_FOR_DOC, output_type=DonutSwinModelOutput,
src/transformers/models/donut/modeling_donut_swin.py:None
Routeforward
replace_return_docstrings(output_type=ConditionalDetrModelOutput, config_class=_CONFIG_FOR_DOC)
src/transformers/models/conditional_detr/modeling_conditional_detr.py:None
Routeforward
add_start_docstrings_to_model_forward(FLAVA_IMAGE_INPUTS_DOCSTRING.format("batch_size, image_num_patches"))
src/transformers/models/flava/modeling_flava.py:None
Routeget_image_features
unpack_inputs
src/transformers/models/groupvit/modeling_tf_groupvit.py:None
Routeget_image_features
unpack_inputs
src/transformers/models/clip/modeling_tf_clip.py:None
Routeget_image_features
add_start_docstrings_to_model_forward(FLAVA_IMAGE_INPUTS_DOCSTRING.format("batch_size, image_num_patches"))
src/transformers/models/flava/modeling_flava.py:None
Routeget_text_features
unpack_inputs
src/transformers/models/groupvit/modeling_tf_groupvit.py:None
Routeget_text_features
unpack_inputs
src/transformers/models/clip/modeling_tf_clip.py:None
Routeimage_guided_detection
replace_return_docstrings(output_type=OwlViTImageGuidedObjectDetectionOutput, config_class=OwlViTConfig)
src/transformers/models/owlvit/modeling_owlvit.py:None
Routeload_indexes
st.cache(allow_output_mutation=True)
examples/research_projects/longform-qa/eli5_app.py:None
Routeload_models
st.cache(allow_output_mutation=True)
examples/research_projects/longform-qa/eli5_app.py:None
Routeload_train_data
st.cache(allow_output_mutation=True)
examples/research_projects/longform-qa/eli5_app.py:None
Routeserving
tf.function(input_signature=[{ "input_ids": tf.TensorSpec((None, None, None), tf.int32, name="input_id
templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/modeling_tf_{{cookiecutter.lowercase_modelname}}.py:None
Routeserving
tf.function( input_signature=[ { "input_ids": tf.TensorSpec((None, None),
src/transformers/modeling_tf_utils.py:None
Routeserving
tf.function( input_signature=[ { "input_ids": tf.TensorSpec((None, None),
src/transformers/models/groupvit/modeling_tf_groupvit.py:None
Routeserving
tf.function( input_signature=[ { "pixel_values": tf.TensorSpec((None, None
src/transformers/models/deit/modeling_tf_deit.py:None
Routeserving
tf.function( input_signature=[ { "input_ids": tf.TensorSpec((None, None),
src/transformers/models/blenderbot/modeling_tf_blenderbot.py:None
Routeserving
tf.function( input_signature=[ { "input_ids": tf.TensorSpec((None, None),
src/transformers/models/roberta/modeling_tf_roberta.py:None
Routeserving
tf.function( input_signature=[ { "input_values": tf.TensorSpec((None, None
src/transformers/models/hubert/modeling_tf_hubert.py:None
Routeserving
tf.function( input_signature=[ { "input_ids": tf.TensorSpec((None, None, N
src/transformers/models/albert/modeling_tf_albert.py:None
Routeserving
tf.function( input_signature=[ { "input_ids": tf.TensorSpec((None, None),
src/transformers/models/esm/modeling_tf_esm.py:None
Routeserving
tf.function( input_signature=[ { "input_ids": tf.TensorSpec((None, None),
src/transformers/models/bart/modeling_tf_bart.py:None
Routeserving
tf.function( input_signature=[ { "input_features": tf.TensorSpec((None, No
src/transformers/models/speech_to_text/modeling_tf_speech_to_text.py:None
Routeserving
tf.function( input_signature=[ { "input_ids": tf.TensorSpec((None, None),
src/transformers/models/roberta_prelayernorm/modeling_tf_roberta_prelayernorm.py:None
Routeserving
tf.function( input_signature=[ { "input_ids": tf.TensorSpec((None, None, N
src/transformers/models/rembert/modeling_tf_rembert.py:None
Routeserving
tf.function( input_signature=[ { "pixel_values": tf.TensorSpec((None, None
src/transformers/models/vit/modeling_tf_vit.py:None
Routeserving
tf.function( input_signature=[ { "pixel_values": tf.TensorSpec((None, None
src/transformers/models/resnet/modeling_tf_resnet.py:None
Routeserving
tf.function( input_signature=[ { "input_ids": tf.TensorSpec((None, None),
src/transformers/models/longformer/modeling_tf_longformer.py:None
Routeserving
tf.function( input_signature=[ { "pixel_values": tf.TensorSpec((None, None
src/transformers/models/data2vec/modeling_tf_data2vec_vision.py:None
Routeserving
tf.function( input_signature=[ { "input_ids": tf.TensorSpec((None, None),
src/transformers/models/clip/modeling_tf_clip.py:None
Routeserving
tf.function( input_signature=[ { "input_ids": tf.TensorSpec((None, None),
src/transformers/models/led/modeling_tf_led.py:None
Routeserving
tf.function( input_signature=[ { "input_ids": tf.TensorSpec((None, None, N
src/transformers/models/bert/modeling_tf_bert.py:None
Routeserving
tf.function( input_signature=[ { "input_ids": tf.TensorSpec((None, None),
src/transformers/models/pegasus/modeling_tf_pegasus.py:None
Routeserving
tf.function( input_signature=[ { "input_ids": tf.TensorSpec((None, None),
src/transformers/models/tapas/modeling_tf_tapas.py:None
Routeserving
tf.function( input_signature=[ { "input_ids": tf.TensorSpec((None, None),
src/transformers/models/mpnet/modeling_tf_mpnet.py:None
Routeserving
tf.function( input_signature=[ { "input_features": tf.TensorSpec((None, No
src/transformers/models/whisper/modeling_tf_whisper.py:None
Routeserving
tf.function( input_signature=[ { "pixel_values": tf.TensorSpec((None, None
src/transformers/models/segformer/modeling_tf_segformer.py:None
Routeserving
tf.function( input_signature=[ { "input_ids": tf.TensorSpec((None, None),
src/transformers/models/xglm/modeling_tf_xglm.py:None
Routeserving
tf.function( input_signature=[ { "input_values": tf.TensorSpec((None, None
src/transformers/models/wav2vec2/modeling_tf_wav2vec2.py:None
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