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refactor: Move LIBRARY_TASK_MAPPING_EXCLUDING_TRANSFORMERS closer to TASKS_MODEL_LIBRARIES #580

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Merged
xianbaoqian merged 3 commits into from
Dec 23, 2022
Merged

refactor: Move LIBRARY_TASK_MAPPING_EXCLUDING_TRANSFORMERS closer to TASKS_MODEL_LIBRARIES #580

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4236ebf
refactor
xianbaoqian Dec 22, 2022
8b1f250
remove unused import
xianbaoqian Dec 23, 2022
901270e
move the dict to a new file
xianbaoqian Dec 23, 2022
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92 changes: 92 additions & 0 deletions js/src/lib/interfaces/LibrariesToTasks.ts
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Original file line number Diff line number Diff line change
@@ -0,0 +1,92 @@
import type { ModelLibraryKey } from "./Libraries";
import type { PipelineType } from "./Types";

/**
* Mapping from library name (excluding Transformers) to its supported tasks.
* Inference API should be disabled for all other (library, task) pairs beyond this mapping.
* As an exception, we assume Transformers supports all inference tasks.
* This mapping is generated automatically by "python-api-export-tasks" action in huggingface/api-inference-community repo upon merge.
* Ref: https://github.com/huggingface/api-inference-community/pull/158
*/
export const LIBRARY_TASK_MAPPING_EXCLUDING_TRANSFORMERS: Partial<Record<ModelLibraryKey, PipelineType[]>> = {
"adapter-transformers": [
"question-answering",
"text-classification",
"token-classification",
],
"allennlp": [
"question-answering",
],
"asteroid": [
// "audio-source-separation",
"audio-to-audio",
],
"diffusers": [
"text-to-image",
],
"doctr": [
"object-detection",
],
"espnet": [
"text-to-speech",
"automatic-speech-recognition",
],
"fairseq": [
"text-to-speech",
"audio-to-audio",
],
"fastai": [
"image-classification",
],
"fasttext": [
"feature-extraction",
"text-classification",
],
"flair": [
"token-classification",
],
"k2": [
"automatic-speech-recognition",
],
"keras": [
"image-classification",
],
"nemo": [
"automatic-speech-recognition",
],
"paddlenlp": [
"conversational",
"fill-mask",
"summarization",
],
"pyannote-audio": [
"automatic-speech-recognition",
],
"sentence-transformers": [
"feature-extraction",
"sentence-similarity",
],
"sklearn": [
"tabular-classification",
"tabular-regression",
"text-classification",
],
"spacy": [
"token-classification",
"text-classification",
"sentence-similarity",
],
"speechbrain": [
"audio-classification",
"audio-to-audio",
"automatic-speech-recognition",
"text-to-speech",
"text2text-generation",
],
"stanza": [
"token-classification",
],
"timm": [
"image-classification",
],
};
93 changes: 0 additions & 93 deletions js/src/lib/interfaces/Types.ts
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Original file line number Diff line number Diff line change
@@ -1,5 +1,3 @@
import type { ModelLibraryKey } from "./Libraries";

// Warning: order of modalities here determine how they are listed on the /tasks page
export const MODALITIES = [
"cv",
Expand Down Expand Up @@ -751,94 +749,3 @@ export interface TransformersInfo {
*/
processor?: string;
}


/**
* Mapping from library name (excluding Transformers) to its supported tasks.
* Inference API should be disabled for all other (library, task) pairs beyond this mapping.
* As an exception, we assume Transformers supports all inference tasks.
* This mapping is generated automatically by "python-api-export-tasks" action in huggingface/api-inference-community repo upon merge.
* Ref: https://github.com/huggingface/api-inference-community/pull/158
*/
export const LIBRARY_TASK_MAPPING_EXCLUDING_TRANSFORMERS: Partial<Record<ModelLibraryKey, PipelineType[]>> = {
"adapter-transformers": [
"question-answering",
"text-classification",
"token-classification",
],
"allennlp": [
"question-answering",
],
"asteroid": [
// "audio-source-separation",
"audio-to-audio",
],
"diffusers": [
"text-to-image",
],
"doctr": [
"object-detection",
],
"espnet": [
"text-to-speech",
"automatic-speech-recognition",
],
"fairseq": [
"text-to-speech",
"audio-to-audio",
],
"fastai": [
"image-classification",
],
"fasttext": [
"feature-extraction",
"text-classification",
],
"flair": [
"token-classification",
],
"k2": [
"automatic-speech-recognition",
],
"keras": [
"image-classification",
],
"nemo": [
"automatic-speech-recognition",
],
"paddlenlp": [
"conversational",
"fill-mask",
"summarization",
],
"pyannote-audio": [
"automatic-speech-recognition",
],
"sentence-transformers": [
"feature-extraction",
"sentence-similarity",
],
"sklearn": [
"tabular-classification",
"tabular-regression",
"text-classification",
],
"spacy": [
"token-classification",
"text-classification",
"sentence-similarity",
],
"speechbrain": [
"audio-classification",
"audio-to-audio",
"automatic-speech-recognition",
"text-to-speech",
"text2text-generation",
],
"stanza": [
"token-classification",
],
"timm": [
"image-classification",
],
};