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* initial files * initial model via cli * typos * make a start on the model config * ready with configuation * remove tokenizer ref. * init the transformer * added initial model forward to return dec_output * require gluonts * update dep. ver table and add as extra * fixed typo * add type for prediction_length * use num_time_features * use config * more config * typos * opps another typo * freq can be none * default via transformation is 1 * initial transformations * fix imports * added transform_start_field * add helper to create pytorch dataloader * added inital val and test data loader * added initial distr head and loss * training working * remove TimeSeriesTransformerTokenizer Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/__init__.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/time_series_transformer/__init__.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * fixed copyright * removed docs * remove time series tokenizer * fixed docs * fix text * fix second * fix default * fix order * use config directly * undo change * fix comment * fix year * fix import * add additional arguments for training vs. test * initial greedy inference loop * fix inference * comment out token inputs to enc dec * Use HF encoder/decoder * fix inference * Use Seq2SeqTSModelOutput output * return Seq2SeqTSPredictionOutput * added default arguments * fix return_dict true * scale is a tensor * output static_features for inference * clean up some unused bits * fixed typo * set return_dict if none * call model once for both train/predict * use cache if future_target is none * initial generate func * generate arguments * future_time_feat is required * return SampleTSPredictionOutput * removed unneeded classes * fix when params is none * fix return dict * fix num_attention_heads * fix arguments * remove unused shift_tokens_right * add different dropout configs * implement FeatureEmbedder, Scaler and weighted_average * remove gluonts dependency * fix class names * avoid _variable names * remove gluonts dependency * fix imports * remove gluonts from configuration * fix docs * fixed typo * move utils to examples * add example requirements * config has no freq * initial run_ts_no_trainer * remove from ignore * fix output_attentions and removed unsued getters/setters * removed unsed tests * add dec seq len * add test_attention_outputs * set has_text_modality=False * add config attribute_map * make style * make fix-copies * add encoder_outputs to TimeSeriesTransformerForPrediction forward * Improve docs, add model to README * added test_forward_signature * More improvements * Add more copied from * Fix README * Fix remaining quality issues * updated encoder and decoder * fix generate * output_hidden_states and use_cache are optional * past key_values returned too * initialize weights of distribution_output module * fixed more tests * update test_forward_signature * fix return_dict outputs * Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * removed commented out tests * added neg. bin and normal output * Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * move to one line * Add docstrings * Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * add try except for assert and raise * try and raise exception * fix the documentation formatting * fix assert call * fix docstring formatting * removed input_ids from DOCSTRING * Update input docstring * Improve variable names * Update order of inputs * Improve configuration * Improve variable names * Improve docs * Remove key_length from tests * Add extra docs * initial unittests * added test_inference_no_head test * added test_inference_head * add test_seq_to_seq_generation * make style * one line * assert mean prediction * removed comments * Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * fix order of args * make past_observed_mask optional as well * added Amazon license header * updated utils with new fieldnames * make style * cleanup * undo position of past_observed_mask * fix import * typo * more typo * rename example files * remove example for now * Update docs/source/en/_toctree.yml Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update modeling_time_series_transformer.py fix style * fixed typo * fix typo and grammer * fix style Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: NielsRogge <niels.rogge1@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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| .. | ||
| albert | ||
| auto | ||
| bart | ||
| barthez | ||
| bartpho | ||
| beit | ||
| bert | ||
| bert_generation | ||
| bert_japanese | ||
| bertweet | ||
| big_bird | ||
| bigbird_pegasus | ||
| blenderbot | ||
| blenderbot_small | ||
| bloom | ||
| bort | ||
| byt5 | ||
| camembert | ||
| canine | ||
| clip | ||
| codegen | ||
| conditional_detr | ||
| convbert | ||
| convnext | ||
| cpm | ||
| ctrl | ||
| cvt | ||
| data2vec | ||
| deberta | ||
| deberta_v2 | ||
| decision_transformer | ||
| deformable_detr | ||
| deit | ||
| detr | ||
| distilbert | ||
| dit | ||
| donut | ||
| dpr | ||
| dpt | ||
| electra | ||
| encoder_decoder | ||
| ernie | ||
| esm | ||
| flaubert | ||
| flava | ||
| fnet | ||
| fsmt | ||
| funnel | ||
| glpn | ||
| gpt_neo | ||
| gpt_neox | ||
| gpt_neox_japanese | ||
| gpt2 | ||
| gptj | ||
| groupvit | ||
| herbert | ||
| hubert | ||
| ibert | ||
| imagegpt | ||
| layoutlm | ||
| layoutlmv2 | ||
| layoutlmv3 | ||
| layoutxlm | ||
| led | ||
| levit | ||
| longformer | ||
| longt5 | ||
| luke | ||
| lxmert | ||
| m2m_100 | ||
| marian | ||
| markuplm | ||
| maskformer | ||
| mbart | ||
| mbart50 | ||
| mctct | ||
| megatron_bert | ||
| megatron_gpt2 | ||
| mluke | ||
| mobilebert | ||
| mobilevit | ||
| mpnet | ||
| mt5 | ||
| mvp | ||
| nezha | ||
| nllb | ||
| nystromformer | ||
| openai | ||
| opt | ||
| owlvit | ||
| pegasus | ||
| pegasus_x | ||
| perceiver | ||
| phobert | ||
| plbart | ||
| poolformer | ||
| prophetnet | ||
| qdqbert | ||
| rag | ||
| realm | ||
| reformer | ||
| regnet | ||
| rembert | ||
| resnet | ||
| retribert | ||
| roberta | ||
| roformer | ||
| segformer | ||
| sew | ||
| sew_d | ||
| speech_encoder_decoder | ||
| speech_to_text | ||
| speech_to_text_2 | ||
| splinter | ||
| squeezebert | ||
| swin | ||
| swinv2 | ||
| t5 | ||
| tapas | ||
| tapex | ||
| time_series_transformer | ||
| trajectory_transformer | ||
| transfo_xl | ||
| trocr | ||
| unispeech | ||
| unispeech_sat | ||
| van | ||
| videomae | ||
| vilt | ||
| vision_encoder_decoder | ||
| vision_text_dual_encoder | ||
| visual_bert | ||
| vit | ||
| vit_mae | ||
| vit_msn | ||
| wav2vec2 | ||
| wav2vec2_conformer | ||
| wav2vec2_phoneme | ||
| wav2vec2_with_lm | ||
| wavlm | ||
| x_clip | ||
| xglm | ||
| xlm | ||
| xlm_prophetnet | ||
| xlm_roberta | ||
| xlm_roberta_xl | ||
| xlnet | ||
| yolos | ||
| yoso | ||
| __init__.py | ||