inference-widgets / packages /tasks /src /model-libraries.ts
machineuser
Sync widgets demo
7240c46
import * as snippets from "./model-libraries-snippets";
import type { ModelData } from "./model-data";
import type { ElasticBoolQueryFilter } from "./model-libraries-downloads";
/**
* Elements configurable by a model library.
*/
export interface LibraryUiElement {
/**
* Pretty name of the library.
* displayed in tags, and on the main
* call-to-action button on the model page.
*/
prettyLabel: string;
/**
* Repo name of the library's (usually on GitHub) code repo
*/
repoName: string;
/**
* URL to library's (usually on GitHub) code repo
*/
repoUrl: string;
/**
* URL to library's docs
*/
docsUrl?: string;
/**
* Code snippet(s) displayed on model page
*/
snippets?: (model: ModelData) => string[];
/**
* Elastic query used to count this library's model downloads
*
* By default, those files are counted:
* "config.json", "config.yaml", "hyperparams.yaml", "meta.yaml"
*/
countDownloads?: ElasticBoolQueryFilter;
/**
* should we display this library in hf.co/models filter
* (only for popular libraries with > 100 models)
*/
filter?: boolean;
}
/**
* Add your new library here.
*
* This is for modeling (= architectures) libraries, not for file formats (like ONNX, etc).
* (unlike libraries, file formats live in an enum inside the internal codebase.)
*
* Doc on how to add a library to the Hub:
*
* https://huggingface.co/docs/hub/models-adding-libraries
*
* /!\ IMPORTANT
*
* The key you choose is the tag your models have in their library_name on the Hub.
*/
export const MODEL_LIBRARIES_UI_ELEMENTS = {
"adapter-transformers": {
prettyLabel: "Adapters",
repoName: "adapters",
repoUrl: "https://github.com/Adapter-Hub/adapters",
docsUrl: "https://huggingface.co/docs/hub/adapters",
snippets: snippets.adapters,
filter: true,
countDownloads: {
term: { path: "adapter_config.json" },
},
},
allennlp: {
prettyLabel: "AllenNLP",
repoName: "AllenNLP",
repoUrl: "https://github.com/allenai/allennlp",
docsUrl: "https://huggingface.co/docs/hub/allennlp",
snippets: snippets.allennlp,
filter: true,
},
asteroid: {
prettyLabel: "Asteroid",
repoName: "Asteroid",
repoUrl: "https://github.com/asteroid-team/asteroid",
docsUrl: "https://huggingface.co/docs/hub/asteroid",
snippets: snippets.asteroid,
filter: true,
countDownloads: {
term: { path: "pytorch_model.bin" },
},
},
audiocraft: {
prettyLabel: "Audiocraft",
repoName: "audiocraft",
repoUrl: "https://github.com/facebookresearch/audiocraft",
snippets: snippets.audiocraft,
filter: false,
},
bertopic: {
prettyLabel: "BERTopic",
repoName: "BERTopic",
repoUrl: "https://github.com/MaartenGr/BERTopic",
snippets: snippets.bertopic,
filter: true,
},
diffusers: {
prettyLabel: "Diffusers",
repoName: "πŸ€—/diffusers",
repoUrl: "https://github.com/huggingface/diffusers",
docsUrl: "https://huggingface.co/docs/hub/diffusers",
snippets: snippets.diffusers,
filter: true,
/// diffusers has its own more complex "countDownloads" query
},
doctr: {
prettyLabel: "docTR",
repoName: "doctr",
repoUrl: "https://github.com/mindee/doctr",
},
elm: {
prettyLabel: "ELM",
repoName: "elm",
repoUrl: "https://github.com/slicex-ai/elm",
filter: false,
countDownloads: {
wildcard: { path: "*/slicex_elm_config.json" },
},
},
espnet: {
prettyLabel: "ESPnet",
repoName: "ESPnet",
repoUrl: "https://github.com/espnet/espnet",
docsUrl: "https://huggingface.co/docs/hub/espnet",
snippets: snippets.espnet,
filter: true,
},
fairseq: {
prettyLabel: "Fairseq",
repoName: "fairseq",
repoUrl: "https://github.com/pytorch/fairseq",
snippets: snippets.fairseq,
filter: true,
},
fastai: {
prettyLabel: "fastai",
repoName: "fastai",
repoUrl: "https://github.com/fastai/fastai",
docsUrl: "https://huggingface.co/docs/hub/fastai",
snippets: snippets.fastai,
filter: true,
},
fasttext: {
prettyLabel: "fastText",
repoName: "fastText",
repoUrl: "https://fasttext.cc/",
snippets: snippets.fasttext,
filter: true,
},
flair: {
prettyLabel: "Flair",
repoName: "Flair",
repoUrl: "https://github.com/flairNLP/flair",
docsUrl: "https://huggingface.co/docs/hub/flair",
snippets: snippets.flair,
filter: true,
countDownloads: {
term: { path: "pytorch_model.bin" },
},
},
gliner: {
prettyLabel: "GLiNER",
repoName: "GLiNER",
repoUrl: "https://github.com/urchade/GLiNER",
snippets: snippets.gliner,
filter: false,
countDownloads: {
term: { path: "gliner_config.json" },
},
},
grok: {
prettyLabel: "Grok",
repoName: "Grok",
repoUrl: "https://github.com/xai-org/grok-1",
filter: false,
countDownloads: {
terms: { path: ["ckpt/tensor00000_000", "ckpt-0/tensor00000_000"] },
},
},
keras: {
prettyLabel: "Keras",
repoName: "Keras",
repoUrl: "https://github.com/keras-team/keras",
docsUrl: "https://huggingface.co/docs/hub/keras",
snippets: snippets.keras,
filter: true,
countDownloads: { term: { path: "saved_model.pb" } },
},
"keras-nlp": {
prettyLabel: "KerasNLP",
repoName: "KerasNLP",
repoUrl: "https://keras.io/keras_nlp/",
docsUrl: "https://github.com/keras-team/keras-nlp",
snippets: snippets.keras_nlp,
},
k2: {
prettyLabel: "K2",
repoName: "k2",
repoUrl: "https://github.com/k2-fsa/k2",
},
mindspore: {
prettyLabel: "MindSpore",
repoName: "mindspore",
repoUrl: "https://github.com/mindspore-ai/mindspore",
},
"ml-agents": {
prettyLabel: "ml-agents",
repoName: "ml-agents",
repoUrl: "https://github.com/Unity-Technologies/ml-agents",
docsUrl: "https://huggingface.co/docs/hub/ml-agents",
snippets: snippets.mlAgents,
filter: true,
countDownloads: { wildcard: { path: "*.onnx" } },
},
mlx: {
prettyLabel: "MLX",
repoName: "MLX",
repoUrl: "https://github.com/ml-explore/mlx-examples/tree/main",
snippets: snippets.mlx,
filter: true,
},
"mlx-image": {
prettyLabel: "mlx-image",
repoName: "mlx-image",
repoUrl: "https://github.com/riccardomusmeci/mlx-image",
docsUrl: "https://huggingface.co/docs/hub/mlx-image",
snippets: snippets.mlxim,
filter: false,
countDownloads: { term: { path: "model.safetensors" } },
},
nemo: {
prettyLabel: "NeMo",
repoName: "NeMo",
repoUrl: "https://github.com/NVIDIA/NeMo",
snippets: snippets.nemo,
filter: true,
countDownloads: { wildcard: { path: "*.nemo" } },
},
open_clip: {
prettyLabel: "OpenCLIP",
repoName: "OpenCLIP",
repoUrl: "https://github.com/mlfoundations/open_clip",
snippets: snippets.open_clip,
filter: true,
countDownloads: { wildcard: { path: "*pytorch_model.bin" } },
},
paddlenlp: {
prettyLabel: "paddlenlp",
repoName: "PaddleNLP",
repoUrl: "https://github.com/PaddlePaddle/PaddleNLP",
docsUrl: "https://huggingface.co/docs/hub/paddlenlp",
snippets: snippets.paddlenlp,
filter: true,
countDownloads: {
term: { path: "model_config.json" },
},
},
peft: {
prettyLabel: "PEFT",
repoName: "PEFT",
repoUrl: "https://github.com/huggingface/peft",
snippets: snippets.peft,
filter: true,
countDownloads: {
term: { path: "adapter_config.json" },
},
},
"pyannote-audio": {
prettyLabel: "pyannote.audio",
repoName: "pyannote-audio",
repoUrl: "https://github.com/pyannote/pyannote-audio",
snippets: snippets.pyannote_audio,
filter: true,
},
pythae: {
prettyLabel: "pythae",
repoName: "pythae",
repoUrl: "https://github.com/clementchadebec/benchmark_VAE",
snippets: snippets.pythae,
filter: true,
},
"sample-factory": {
prettyLabel: "sample-factory",
repoName: "sample-factory",
repoUrl: "https://github.com/alex-petrenko/sample-factory",
docsUrl: "https://huggingface.co/docs/hub/sample-factory",
snippets: snippets.sampleFactory,
filter: true,
countDownloads: { term: { path: "cfg.json" } },
},
"sentence-transformers": {
prettyLabel: "sentence-transformers",
repoName: "sentence-transformers",
repoUrl: "https://github.com/UKPLab/sentence-transformers",
docsUrl: "https://huggingface.co/docs/hub/sentence-transformers",
snippets: snippets.sentenceTransformers,
filter: true,
},
setfit: {
prettyLabel: "setfit",
repoName: "setfit",
repoUrl: "https://github.com/huggingface/setfit",
docsUrl: "https://huggingface.co/docs/hub/setfit",
snippets: snippets.setfit,
filter: true,
},
sklearn: {
prettyLabel: "Scikit-learn",
repoName: "Scikit-learn",
repoUrl: "https://github.com/scikit-learn/scikit-learn",
snippets: snippets.sklearn,
filter: true,
countDownloads: {
term: { path: "sklearn_model.joblib" },
},
},
spacy: {
prettyLabel: "spaCy",
repoName: "spaCy",
repoUrl: "https://github.com/explosion/spaCy",
docsUrl: "https://huggingface.co/docs/hub/spacy",
snippets: snippets.spacy,
filter: true,
countDownloads: {
wildcard: { path: "*.whl" },
},
},
"span-marker": {
prettyLabel: "SpanMarker",
repoName: "SpanMarkerNER",
repoUrl: "https://github.com/tomaarsen/SpanMarkerNER",
docsUrl: "https://huggingface.co/docs/hub/span_marker",
snippets: snippets.span_marker,
filter: true,
},
speechbrain: {
prettyLabel: "speechbrain",
repoName: "speechbrain",
repoUrl: "https://github.com/speechbrain/speechbrain",
docsUrl: "https://huggingface.co/docs/hub/speechbrain",
snippets: snippets.speechbrain,
filter: true,
countDownloads: {
term: { path: "hyperparams.yaml" },
},
},
"stable-baselines3": {
prettyLabel: "stable-baselines3",
repoName: "stable-baselines3",
repoUrl: "https://github.com/huggingface/huggingface_sb3",
docsUrl: "https://huggingface.co/docs/hub/stable-baselines3",
snippets: snippets.stableBaselines3,
filter: true,
countDownloads: {
wildcard: { path: "*.zip" },
},
},
stanza: {
prettyLabel: "Stanza",
repoName: "stanza",
repoUrl: "https://github.com/stanfordnlp/stanza",
docsUrl: "https://huggingface.co/docs/hub/stanza",
snippets: snippets.stanza,
filter: true,
countDownloads: {
term: { path: "models/default.zip" },
},
},
tensorflowtts: {
prettyLabel: "TensorFlowTTS",
repoName: "TensorFlowTTS",
repoUrl: "https://github.com/TensorSpeech/TensorFlowTTS",
snippets: snippets.tensorflowtts,
},
timm: {
prettyLabel: "timm",
repoName: "pytorch-image-models",
repoUrl: "https://github.com/rwightman/pytorch-image-models",
docsUrl: "https://huggingface.co/docs/hub/timm",
snippets: snippets.timm,
filter: true,
countDownloads: {
terms: { path: ["pytorch_model.bin", "model.safetensors"] },
},
},
transformers: {
prettyLabel: "Transformers",
repoName: "πŸ€—/transformers",
repoUrl: "https://github.com/huggingface/transformers",
docsUrl: "https://huggingface.co/docs/hub/transformers",
snippets: snippets.transformers,
filter: true,
},
"transformers.js": {
prettyLabel: "Transformers.js",
repoName: "transformers.js",
repoUrl: "https://github.com/xenova/transformers.js",
docsUrl: "https://huggingface.co/docs/hub/transformers-js",
snippets: snippets.transformersJS,
filter: true,
},
"unity-sentis": {
prettyLabel: "unity-sentis",
repoName: "unity-sentis",
repoUrl: "https://github.com/Unity-Technologies/sentis-samples",
snippets: snippets.sentis,
filter: true,
countDownloads: {
wildcard: { path: "*.sentis" },
},
},
voicecraft: {
prettyLabel: "VoiceCraft",
repoName: "VoiceCraft",
repoUrl: "https://github.com/jasonppy/VoiceCraft",
docsUrl: "https://github.com/jasonppy/VoiceCraft",
snippets: snippets.voicecraft,
},
whisperkit: {
prettyLabel: "WhisperKit",
repoName: "WhisperKit",
repoUrl: "https://github.com/argmaxinc/WhisperKit",
countDownloads: {
wildcard: { path: "*/model.mil" },
},
},
} satisfies Record<string, LibraryUiElement>;
export type ModelLibraryKey = keyof typeof MODEL_LIBRARIES_UI_ELEMENTS;
export const ALL_MODEL_LIBRARY_KEYS = Object.keys(MODEL_LIBRARIES_UI_ELEMENTS) as ModelLibraryKey[];
export const ALL_DISPLAY_MODEL_LIBRARY_KEYS = (
Object.entries(MODEL_LIBRARIES_UI_ELEMENTS as Record<ModelLibraryKey, LibraryUiElement>) as [
ModelLibraryKey,
LibraryUiElement,
][]
)
// eslint-disable-next-line @typescript-eslint/no-unused-vars
.filter(([_, v]) => v.filter)
.map(([k]) => k);