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1. huggingface.co › docs › transformersTransformers - Hugging Face

   huggingface.co › docs › transformers

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   🤗 Transformers provides APIs and tools to easily download and train state-of-the-art pretrained models. Using pretrained models can reduce your compute costs, carbon footprint, and save you the time and resources required to train a model from scratch.

   • Time Series Transformer

     A transformers.modeling_outputs.Seq2SeqTSModelOutput or a...

   • Bert

     Overview. The BERT model was proposed in BERT: Pre-training...

   • Tokenizer

     Parameters . new_tokens (str, tokenizers.AddedToken or a...

   • Train With a Script

     The example script downloads and preprocesses a dataset from...

   • Trainer

     Trainer is a simple but feature-complete training and eval...

   • Training on One GPU

     Consider the following example. Let’s say, the...

   • Pipelines

     Pipelines. The pipelines are a great and easy way to use...

   • Installation

     Install 🤗 Transformers for whichever deep learning library...

2. github.com › huggingface › transformersGitHub - huggingface/transformers: Transformers: State-of-the-art...

   github.com › huggingface › transformers

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   Question answering with DistilBERT. Translation with T5. In Computer Vision: Image classification with ViT. Object Detection with DETR. Semantic Segmentation with SegFormer.

3. github.com › huggingface › transformersReleases · huggingface/transformers · GitHub

   github.com › huggingface › transformers

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   TLDR; Phi-3 introduces new ROPE scaling methods, which seems to scale fairly well! A 3b and a Phi-3-mini is available in two context-length variants—4K and 128K tokens. It is the first model in its class to support a context window of up to 128K tokens, with little impact on quality. Phi-3 by @gugarosa in #30423; JetMoE

4. www.hugging-face.org › hugging-face-transformersHugging Face Transformers

   www.hugging-face.org › hugging-face-transformers

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   20 nov. 2023 · Hugging Face Transformers offers cutting-edge machine learning tools for PyTorch, TensorFlow, and JAX. This platform provides easy-to-use APIs and tools for downloading and training top-tier pretrained models.

5. pypi.org › project › transformerstransformers · PyPI

   pypi.org › project › transformers

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   Acum 6 zile · 🤗 Transformers provides APIs to quickly download and use those pretrained models on a given text, fine-tune them on your own datasets and then share them with the community on our model hub. At the same time, each python module defining an architecture is fully standalone and can be modified to enable quick research experiments.

6. arxiv.org › abs › 1910[1910.03771] HuggingFace's Transformers: State-of-the-art Natural...

   arxiv.org › abs › 1910

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   9 oct. 2019 · Transformer architectures have facilitated building higher-capacity models and pretraining has made it possible to effectively utilize this capacity for a wide variety of tasks. \textit {Transformers} is an open-source library with the goal of opening up these advances to the wider machine learning community.

7. www.datacamp.com › tutorial › an-introduction-to-using-transformers-and-hugging-faceAn Introduction to Using Transformers and Hugging Face

   www.datacamp.com › tutorial › an-introduction-to-using-transformers-and-hugging-face

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   An Introduction to Using Transformers and Hugging Face. Understand Transformers and harness their power to solve real-life problems. Aug 2022 · 15 min read. Introduction. The extensive contribution of researchers in NLP, short for Natural Language Processing, during the last decades has been generating innovative results in different domains.