@huggingface/tasks
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Comparing version 0.1.3 to 0.2.0
@@ -45,3 +45,3 @@ /** | ||
type ModelLibraryKey = keyof typeof ModelLibrary; | ||
declare const ALL_DISPLAY_MODEL_LIBRARY_KEYS: string[]; | ||
declare const ALL_DISPLAY_MODEL_LIBRARY_KEYS: ("speechbrain" | "fastai" | "adapter-transformers" | "allennlp" | "asteroid" | "bertopic" | "diffusers" | "doctr" | "espnet" | "fairseq" | "flair" | "keras" | "k2" | "mlx" | "nemo" | "open_clip" | "paddlenlp" | "peft" | "pyannote-audio" | "sample-factory" | "sentence-transformers" | "setfit" | "sklearn" | "spacy" | "span-marker" | "tensorflowtts" | "timm" | "transformers" | "transformers.js" | "stanza" | "fasttext" | "stable-baselines3" | "ml-agents" | "pythae" | "mindspore")[]; | ||
@@ -746,7 +746,2 @@ declare const MODALITIES: readonly ["cv", "nlp", "audio", "tabular", "multimodal", "rl", "other"]; | ||
declare const TAG_NFAA_CONTENT = "not-for-all-audiences"; | ||
declare const OTHER_TAGS_SUGGESTIONS: string[]; | ||
declare const TAG_TEXT_GENERATION_INFERENCE = "text-generation-inference"; | ||
declare const TAG_CUSTOM_CODE = "custom_code"; | ||
declare function getModelInputSnippet(model: ModelData, noWrap?: boolean, noQuotes?: boolean): string; | ||
@@ -859,2 +854,2 @@ | ||
export { ALL_DISPLAY_MODEL_LIBRARY_KEYS, ExampleRepo, InferenceDisplayability, LIBRARY_TASK_MAPPING_EXCLUDING_TRANSFORMERS, LibraryUiElement, MAPPING_DEFAULT_WIDGET, MODALITIES, MODALITY_LABELS, MODEL_LIBRARIES_UI_ELEMENTS, Modality, ModelData, ModelLibrary, ModelLibraryKey, OTHER_TAGS_SUGGESTIONS, PIPELINE_DATA, PIPELINE_TYPES, PIPELINE_TYPES_SET, PipelineData, PipelineType, SUBTASK_TYPES, TAG_CUSTOM_CODE, TAG_NFAA_CONTENT, TAG_TEXT_GENERATION_INFERENCE, TASKS_DATA, TASKS_MODEL_LIBRARIES, TaskData, TaskDataCustom, TaskDemo, TaskDemoEntry, TransformersInfo, WidgetExample, WidgetExampleAssetAndPromptInput, WidgetExampleAssetAndTextInput, WidgetExampleAssetAndZeroShotInput, WidgetExampleAssetInput, WidgetExampleAttribute, WidgetExampleOutput, WidgetExampleOutputAnswerScore, WidgetExampleOutputLabels, WidgetExampleOutputText, WidgetExampleOutputUrl, WidgetExampleSentenceSimilarityInput, WidgetExampleStructuredDataInput, WidgetExampleTableDataInput, WidgetExampleTextAndContextInput, WidgetExampleTextAndTableInput, WidgetExampleTextInput, WidgetExampleZeroShotTextInput, index as snippets }; | ||
export { ALL_DISPLAY_MODEL_LIBRARY_KEYS, ExampleRepo, InferenceDisplayability, LIBRARY_TASK_MAPPING_EXCLUDING_TRANSFORMERS, LibraryUiElement, MAPPING_DEFAULT_WIDGET, MODALITIES, MODALITY_LABELS, MODEL_LIBRARIES_UI_ELEMENTS, Modality, ModelData, ModelLibrary, ModelLibraryKey, PIPELINE_DATA, PIPELINE_TYPES, PIPELINE_TYPES_SET, PipelineData, PipelineType, SUBTASK_TYPES, TASKS_DATA, TASKS_MODEL_LIBRARIES, TaskData, TaskDataCustom, TaskDemo, TaskDemoEntry, TransformersInfo, WidgetExample, WidgetExampleAssetAndPromptInput, WidgetExampleAssetAndTextInput, WidgetExampleAssetAndZeroShotInput, WidgetExampleAssetInput, WidgetExampleAttribute, WidgetExampleOutput, WidgetExampleOutputAnswerScore, WidgetExampleOutputLabels, WidgetExampleOutputText, WidgetExampleOutputUrl, WidgetExampleSentenceSimilarityInput, WidgetExampleStructuredDataInput, WidgetExampleTableDataInput, WidgetExampleTextAndContextInput, WidgetExampleTextAndTableInput, WidgetExampleTextInput, WidgetExampleZeroShotTextInput, index as snippets }; |
{ | ||
"name": "@huggingface/tasks", | ||
"packageManager": "pnpm@8.10.5", | ||
"version": "0.1.3", | ||
"version": "0.2.0", | ||
"description": "List of ML tasks for huggingface.co/tasks", | ||
@@ -6,0 +6,0 @@ "repository": "https://github.com/huggingface/huggingface.js.git", |
@@ -42,4 +42,2 @@ export { LIBRARY_TASK_MAPPING_EXCLUDING_TRANSFORMERS } from "./library-to-tasks"; | ||
export { TAG_NFAA_CONTENT, OTHER_TAGS_SUGGESTIONS, TAG_TEXT_GENERATION_INFERENCE, TAG_CUSTOM_CODE } from "./tags"; | ||
import * as snippets from "./snippets"; | ||
@@ -46,0 +44,0 @@ export { snippets }; |
@@ -47,4 +47,6 @@ /** | ||
export const ALL_DISPLAY_MODEL_LIBRARY_KEYS = Object.keys(ModelLibrary).filter( | ||
export const ALL_MODEL_LIBRARY_KEYS = Object.keys(ModelLibrary) as ModelLibraryKey[]; | ||
export const ALL_DISPLAY_MODEL_LIBRARY_KEYS = ALL_MODEL_LIBRARY_KEYS.filter( | ||
(k) => !["doctr", "k2", "mindspore", "tensorflowtts"].includes(k) | ||
); |
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