From 571f077e28e73a0419ffb168ef20e431d84419d3 Mon Sep 17 00:00:00 2001 From: Joshua Lochner Date: Tue, 4 Apr 2023 22:51:36 +0200 Subject: [PATCH] Reorder supported models in README --- README.md | 2 +- index.html | 18 +++++++++--------- package.json | 2 +- 3 files changed, 11 insertions(+), 11 deletions(-) diff --git a/README.md b/README.md index b24bfc7..d7bc6b1 100644 --- a/README.md +++ b/README.md @@ -6,7 +6,7 @@ [![license](https://img.shields.io/github/license/xenova/transformers.js)](https://github.com/xenova/transformers.js/blob/main/LICENSE) -Run 🤗 Transformers in your browser! We currently support [BERT](https://huggingface.co/docs/transformers/model_doc/bert), [ALBERT](https://huggingface.co/docs/transformers/model_doc/albert), [DistilBERT](https://huggingface.co/docs/transformers/model_doc/distilbert), [MobileBERT](https://huggingface.co/docs/transformers/model_doc/mobilebert), [SqueezeBERT](https://huggingface.co/docs/transformers/model_doc/squeezebert), [T5](https://huggingface.co/docs/transformers/model_doc/t5), [T5v1.1](https://huggingface.co/docs/transformers/model_doc/t5v1.1), [FLAN-T5](https://huggingface.co/docs/transformers/model_doc/flan-t5), [mT5](https://huggingface.co/docs/transformers/model_doc/mt5), [MarianMT](https://huggingface.co/docs/transformers/model_doc/marian), [GPT2](https://huggingface.co/docs/transformers/model_doc/gpt2), [GPT Neo](https://huggingface.co/docs/transformers/model_doc/gpt_neo), [BART](https://huggingface.co/docs/transformers/model_doc/bart), [CodeGen](https://huggingface.co/docs/transformers/model_doc/codegen), [Whisper](https://huggingface.co/docs/transformers/model_doc/whisper), [CLIP](https://huggingface.co/docs/transformers/model_doc/clip), [Vision Transformer](https://huggingface.co/docs/transformers/model_doc/vit), [VisionEncoderDecoder](https://huggingface.co/docs/transformers/model_doc/vision-encoder-decoder), and [DETR](https://huggingface.co/docs/transformers/model_doc/detr) models, for a variety of tasks including: masked language modelling, text classification, zero-shot classification, text-to-text generation, translation, summarization, question answering, text generation, automatic speech recognition, image classification, zero-shot image classification, image-to-text, and object detection. +Run 🤗 Transformers in your browser! We currently support [BERT](https://huggingface.co/docs/transformers/model_doc/bert), [ALBERT](https://huggingface.co/docs/transformers/model_doc/albert), [DistilBERT](https://huggingface.co/docs/transformers/model_doc/distilbert), [MobileBERT](https://huggingface.co/docs/transformers/model_doc/mobilebert), [SqueezeBERT](https://huggingface.co/docs/transformers/model_doc/squeezebert), [T5](https://huggingface.co/docs/transformers/model_doc/t5), [T5v1.1](https://huggingface.co/docs/transformers/model_doc/t5v1.1), [FLAN-T5](https://huggingface.co/docs/transformers/model_doc/flan-t5), [mT5](https://huggingface.co/docs/transformers/model_doc/mt5), [BART](https://huggingface.co/docs/transformers/model_doc/bart), [MarianMT](https://huggingface.co/docs/transformers/model_doc/marian), [GPT2](https://huggingface.co/docs/transformers/model_doc/gpt2), [GPT Neo](https://huggingface.co/docs/transformers/model_doc/gpt_neo), [CodeGen](https://huggingface.co/docs/transformers/model_doc/codegen), [Whisper](https://huggingface.co/docs/transformers/model_doc/whisper), [CLIP](https://huggingface.co/docs/transformers/model_doc/clip), [Vision Transformer](https://huggingface.co/docs/transformers/model_doc/vit), [VisionEncoderDecoder](https://huggingface.co/docs/transformers/model_doc/vision-encoder-decoder), and [DETR](https://huggingface.co/docs/transformers/model_doc/detr) models, for a variety of tasks including: masked language modelling, text classification, zero-shot classification, text-to-text generation, translation, summarization, question answering, text generation, automatic speech recognition, image classification, zero-shot image classification, image-to-text, and object detection. ![teaser](https://user-images.githubusercontent.com/26504141/221056008-e906614e-e6f0-4e10-b0a8-7d5c99e955b4.gif) diff --git a/index.html b/index.html index 476b3b5..4338988 100644 --- a/index.html +++ b/index.html @@ -969,6 +969,15 @@ env.onnx.wasm.wasmPaths = '/path/to/files/'; href="https://huggingface.co/docs/transformers/model_doc/mt5">mT5 docs. +
  • +
    +
    BART
    + Tasks: Sequence-to-sequence for summarization + (AutoModelForSeq2SeqLM). + For more information, check out the BART docs. +
    +
  • MarianMT
    @@ -997,15 +1006,6 @@ env.onnx.wasm.wasmPaths = '/path/to/files/'; GPT Neo docs.
    • -
  • -
    -
    BART
    - Tasks: Sequence-to-sequence for summarization - (AutoModelForSeq2SeqLM). - For more information, check out the BART docs. -
    -
  • CodeGen
    diff --git a/package.json b/package.json index 8a35806..89caa80 100644 --- a/package.json +++ b/package.json @@ -1,7 +1,7 @@ { "name": "@xenova/transformers", "version": "1.3.5", - "description": "Run 🤗 Transformers in your browser! We currently support BERT, ALBERT, DistilBERT, MobileBERT, SqueezeBERT, T5, T5v1.1, FLAN-T5, mT5, MarianMT, GPT2, GPT Neo, BART, CodeGen, Whisper, CLIP, Vision Transformer, VisionEncoderDecoder, and DETR models, for a variety of tasks including: masked language modelling, text classification, zero-shot classification, text-to-text generation, translation, summarization, question answering, text generation, automatic speech recognition, image classification, zero-shot image classification, image-to-text, and object detection.", + "description": "Run 🤗 Transformers in your browser! We currently support BERT, ALBERT, DistilBERT, MobileBERT, SqueezeBERT, T5, T5v1.1, FLAN-T5, mT5, BART, MarianMT, GPT2, GPT Neo, CodeGen, Whisper, CLIP, Vision Transformer, VisionEncoderDecoder, and DETR models, for a variety of tasks including: masked language modelling, text classification, zero-shot classification, text-to-text generation, translation, summarization, question answering, text generation, automatic speech recognition, image classification, zero-shot image classification, image-to-text, and object detection.", "main": "./src/transformers.js", "directories": { "test": "tests"