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* toctree * not-doctested.txt * collapse sections * feedback * update * rewrite get started sections * fixes * fix * loading models * fix * customize models * share * fix link * contribute part 1 * contribute pt 2 * fix toctree * tokenization pt 1 * Add new model (#32615) * v1 - working version * fix * fix * fix * fix * rename to correct name * fix title * fixup * rename files * fix * add copied from on tests * rename to `FalconMamba` everywhere and fix bugs * fix quantization + accelerate * fix copies * add `torch.compile` support * fix tests * fix tests and add slow tests * copies on config * merge the latest changes * fix tests * add few lines about instruct * Apply suggestions from code review Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * fix * fix tests --------- Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * "to be not" -> "not to be" (#32636) * "to be not" -> "not to be" * Update sam.md * Update trainer.py * Update modeling_utils.py * Update test_modeling_utils.py * Update test_modeling_utils.py * fix hfoption tag * tokenization pt. 2 * image processor * fix toctree * backbones * feature extractor * fix file name * processor * update not-doctested * update * make style * fix toctree * revision * make fixup * fix toctree * fix * make style * fix hfoption tag * pipeline * pipeline gradio * pipeline web server * add pipeline * fix toctree * not-doctested * prompting * llm optims * fix toctree * fixes * cache * text generation * fix * chat pipeline * chat stuff * xla * torch.compile * cpu inference * toctree * gpu inference * agents and tools * gguf/tiktoken * finetune * toctree * trainer * trainer pt 2 * optims * optimizers * accelerate * parallelism * fsdp * update * distributed cpu * hardware training * gpu training * gpu training 2 * peft * distrib debug * deepspeed 1 * deepspeed 2 * chat toctree * quant pt 1 * quant pt 2 * fix toctree * fix * fix * quant pt 3 * quant pt 4 * serialization * torchscript * scripts * tpu * review * model addition timeline * modular * more reviews * reviews * fix toctree * reviews reviews * continue reviews * more reviews * modular transformers * more review * zamba2 * fix * all frameworks * pytorch * supported model frameworks * flashattention * rm check_table * not-doctested.txt * rm check_support_list.py * feedback * updates/feedback * review * feedback * fix * update * feedback * updates * update --------- Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by: Quentin Gallouédec <45557362+qgallouedec@users.noreply.github.com>
119 lines
4.1 KiB
Markdown
119 lines
4.1 KiB
Markdown
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
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Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
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specific language governing permissions and limitations under the License.
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⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
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rendered properly in your Markdown viewer.
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# ERNIE
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<div class="flex flex-wrap space-x-1">
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<img alt="PyTorch" src="https://img.shields.io/badge/PyTorch-DE3412?style=flat&logo=pytorch&logoColor=white">
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</div>
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## Overview
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ERNIE is a series of powerful models proposed by baidu, especially in Chinese tasks,
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including [ERNIE1.0](https://arxiv.org/abs/1904.09223), [ERNIE2.0](https://ojs.aaai.org/index.php/AAAI/article/view/6428),
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[ERNIE3.0](https://arxiv.org/abs/2107.02137), [ERNIE-Gram](https://arxiv.org/abs/2010.12148), [ERNIE-health](https://arxiv.org/abs/2110.07244), etc.
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These models are contributed by [nghuyong](https://huggingface.co/nghuyong) and the official code can be found in [PaddleNLP](https://github.com/PaddlePaddle/PaddleNLP) (in PaddlePaddle).
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### Usage example
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Take `ernie-1.0-base-zh` as an example:
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```Python
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from transformers import AutoTokenizer, AutoModel
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tokenizer = AutoTokenizer.from_pretrained("nghuyong/ernie-1.0-base-zh")
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model = AutoModel.from_pretrained("nghuyong/ernie-1.0-base-zh")
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```
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### Model checkpoints
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| Model Name | Language | Description |
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|:-------------------:|:--------:|:-------------------------------:|
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| ernie-1.0-base-zh | Chinese | Layer:12, Heads:12, Hidden:768 |
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| ernie-2.0-base-en | English | Layer:12, Heads:12, Hidden:768 |
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| ernie-2.0-large-en | English | Layer:24, Heads:16, Hidden:1024 |
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| ernie-3.0-base-zh | Chinese | Layer:12, Heads:12, Hidden:768 |
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| ernie-3.0-medium-zh | Chinese | Layer:6, Heads:12, Hidden:768 |
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| ernie-3.0-mini-zh | Chinese | Layer:6, Heads:12, Hidden:384 |
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| ernie-3.0-micro-zh | Chinese | Layer:4, Heads:12, Hidden:384 |
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| ernie-3.0-nano-zh | Chinese | Layer:4, Heads:12, Hidden:312 |
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| ernie-health-zh | Chinese | Layer:12, Heads:12, Hidden:768 |
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| ernie-gram-zh | Chinese | Layer:12, Heads:12, Hidden:768 |
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You can find all the supported models from huggingface's model hub: [huggingface.co/nghuyong](https://huggingface.co/nghuyong), and model details from paddle's official
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repo: [PaddleNLP](https://paddlenlp.readthedocs.io/zh/latest/model_zoo/transformers/ERNIE/contents.html)
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and [ERNIE](https://github.com/PaddlePaddle/ERNIE/blob/repro).
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## Resources
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- [Text classification task guide](../tasks/sequence_classification)
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- [Token classification task guide](../tasks/token_classification)
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- [Question answering task guide](../tasks/question_answering)
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- [Causal language modeling task guide](../tasks/language_modeling)
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- [Masked language modeling task guide](../tasks/masked_language_modeling)
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- [Multiple choice task guide](../tasks/multiple_choice)
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## ErnieConfig
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[[autodoc]] ErnieConfig
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- all
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## Ernie specific outputs
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[[autodoc]] models.ernie.modeling_ernie.ErnieForPreTrainingOutput
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## ErnieModel
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[[autodoc]] ErnieModel
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- forward
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## ErnieForPreTraining
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[[autodoc]] ErnieForPreTraining
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- forward
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## ErnieForCausalLM
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[[autodoc]] ErnieForCausalLM
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- forward
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## ErnieForMaskedLM
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[[autodoc]] ErnieForMaskedLM
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- forward
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## ErnieForNextSentencePrediction
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[[autodoc]] ErnieForNextSentencePrediction
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- forward
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## ErnieForSequenceClassification
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[[autodoc]] ErnieForSequenceClassification
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- forward
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## ErnieForMultipleChoice
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[[autodoc]] ErnieForMultipleChoice
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- forward
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## ErnieForTokenClassification
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[[autodoc]] ErnieForTokenClassification
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- forward
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## ErnieForQuestionAnswering
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[[autodoc]] ErnieForQuestionAnswering
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- forward |