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bdc906b
No more `text2text`
Pierrci Jul 2, 2025
7d4e4ac
old school linting
Pierrci Jul 2, 2025
5246f3b
add canonical IDs
SBrandeis Jul 3, 2025
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2 changes: 0 additions & 2 deletions packages/inference/src/snippets/getInferenceSnippets.ts
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Expand Up @@ -121,7 +121,6 @@ const HF_JS_METHODS: Partial<Record<WidgetType, string>> = {
"table-question-answering": "tableQuestionAnswering",
"text-classification": "textClassification",
"text-generation": "textGeneration",
"text2text-generation": "textGeneration",
"token-classification": "tokenClassification",
"text-to-speech": "textToSpeech",
translation: "translation",
Expand Down Expand Up @@ -359,7 +358,6 @@ const snippets: Partial<
"text-to-image": snippetGenerator("textToImage"),
"text-to-speech": snippetGenerator("textToSpeech"),
"text-to-video": snippetGenerator("textToVideo"),
"text2text-generation": snippetGenerator("basic"),
"token-classification": snippetGenerator("basic"),
translation: snippetGenerator("basic"),
"zero-shot-classification": snippetGenerator("zeroShotClassification"),
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4 changes: 2 additions & 2 deletions packages/inference/test/InferenceClient.spec.ts
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Expand Up @@ -1429,7 +1429,7 @@ describe.skip("InferenceClient", () => {
providerId: "mistralai/Devstral-Small-2505",
hfModelId: "mistralai/Devstral-Small-2505",
status: "live",
task: "text2text-generation",
task: "text-generation",
},
};

Expand Down Expand Up @@ -1479,7 +1479,7 @@ describe.skip("InferenceClient", () => {
expect(res[0]).toEqual(expect.arrayContaining([expect.any(Number)]));
});

it("text2textGeneration", async () => {
it("textGeneration", async () => {
const res = await client.textGeneration({
model: "mistralai/Devstral-Small-2505",
provider: "nebius",
Expand Down
9 changes: 1 addition & 8 deletions packages/tasks/src/library-to-tasks.ts
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Expand Up @@ -35,13 +35,7 @@ export const LIBRARY_TASK_MAPPING: Partial<Record<ModelLibraryKey, PipelineType[
sklearn: ["tabular-classification", "tabular-regression", "text-classification"],
spacy: ["token-classification", "text-classification", "sentence-similarity"],
"span-marker": ["token-classification"],
speechbrain: [
"audio-classification",
"audio-to-audio",
"automatic-speech-recognition",
"text-to-speech",
"text2text-generation",
],
speechbrain: ["audio-classification", "audio-to-audio", "automatic-speech-recognition", "text-to-speech"],
stanza: ["token-classification"],
timm: ["image-classification", "image-feature-extraction"],
transformers: [
Expand All @@ -62,7 +56,6 @@ export const LIBRARY_TASK_MAPPING: Partial<Record<ModelLibraryKey, PipelineType[
"question-answering",
"summarization",
"table-question-answering",
"text2text-generation",
"text-classification",
"text-generation",
"text-to-audio",
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10 changes: 4 additions & 6 deletions packages/tasks/src/pipelines.ts
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Expand Up @@ -237,12 +237,6 @@ export const PIPELINE_DATA = {
type: "language-modeling",
name: "Language Modeling",
},
],
modality: "nlp",
},
"text2text-generation": {
name: "Text2Text Generation",
subtasks: [
{
type: "text-simplification",
name: "Text simplification",
Expand Down Expand Up @@ -271,6 +265,10 @@ export const PIPELINE_DATA = {
type: "closed-book-qa",
name: "Closed Book QA",
},
{
type: "text2text-generation",
name: "Text2Text Generation",
},
],
modality: "nlp",
},
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3 changes: 0 additions & 3 deletions packages/tasks/src/snippets/inputs.ts
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Expand Up @@ -66,8 +66,6 @@ const inputsTextGeneration = (model: ModelDataMinimal): string | ChatCompletionI
return `"Can you please let us know more details about your "`;
};

const inputsText2TextGeneration = () => `"The answer to the universe is"`;

const inputsFillMask = (model: ModelDataMinimal) => `"The answer to the universe is ${model.mask_token}."`;

const inputsSentenceSimilarity = () =>
Expand Down Expand Up @@ -147,7 +145,6 @@ const modelInputSnippets: {
"text-to-video": inputsTextToVideo,
"text-to-speech": inputsTextToSpeech,
"text-to-audio": inputsTextToAudio,
"text2text-generation": inputsText2TextGeneration,
"token-classification": inputsTokenClassification,
translation: inputsTranslation,
"zero-shot-classification": inputsZeroShotClassification,
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2 changes: 0 additions & 2 deletions packages/tasks/src/tasks/index.ts
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Expand Up @@ -158,7 +158,6 @@ export const TASKS_MODEL_LIBRARIES: Record<PipelineType, ModelLibraryKey[]> = {
"text-to-speech": ["espnet", "tensorflowtts", "transformers", "transformers.js"],
"text-to-audio": ["transformers", "transformers.js"],
"text-to-video": ["diffusers"],
"text2text-generation": ["transformers", "transformers.js"],
"time-series-forecasting": [],
"token-classification": [
"adapter-transformers",
Expand Down Expand Up @@ -245,7 +244,6 @@ export const TASKS_DATA: Record<PipelineType, TaskData | undefined> = {
"text-to-speech": getData("text-to-speech", textToSpeech),
"text-to-audio": undefined,
"text-to-video": getData("text-to-video", textToVideo),
"text2text-generation": undefined,
"time-series-forecasting": undefined,
"token-classification": getData("token-classification", tokenClassification),
translation: getData("translation", translation),
Expand Down
2 changes: 1 addition & 1 deletion packages/tasks/src/tasks/placeholder/data.ts
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Expand Up @@ -14,7 +14,7 @@ const taskData: TaskDataCustom = {
widgetModels: [],
youtubeId: undefined,
/// If this is a subtask, link to the most general task ID
/// (eg, text2text-generation is the canonical ID of translation)
/// (eg, text-generation is the canonical ID of text-simplification)
canonicalId: undefined,
};

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2 changes: 1 addition & 1 deletion packages/tasks/src/tasks/summarization/data.ts
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@@ -1,7 +1,7 @@
import type { TaskDataCustom } from "../index.js";

const taskData: TaskDataCustom = {
canonicalId: "text2text-generation",
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shouldn't we replace by

        canonicalId: "text-generation",

?

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well no, because since those examples were created, we added dedicated pipelines for both summarization and translation, iiuc, cc @SBrandeis

or is it not how it works? ^^'

canonicalId: "text-generation",
datasets: [
{
description:
Expand Down
15 changes: 1 addition & 14 deletions packages/tasks/src/tasks/text-generation/about.md
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@@ -1,4 +1,4 @@
This task covers guides on both [text-generation](https://huggingface.co/models?pipeline_tag=text-generation&sort=downloads) and [text-to-text generation](https://huggingface.co/models?pipeline_tag=text2text-generation&sort=downloads) models. Popular large language models that are used for chats or following instructions are also covered in this task. You can find the list of selected open-source large language models [here](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard), ranked by their performance scores.
This task covers guides on [text-generation](https://huggingface.co/models?pipeline_tag=text-generation&sort=downloads) models. Popular large language models that are used for chats or following instructions are also covered in this task. You can find the list of selected open-source large language models [here](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard), ranked by their performance scores.

## Use Cases

Expand Down Expand Up @@ -58,19 +58,6 @@ generator("Hello, I'm a language model", max_length = 30, num_return_sequences=3
## {'generated_text': "Hello, I'm a language modeler. I write and maintain software in Python. I love to code, and that includes coding things that require writing"}, ...
```

[Text-to-Text generation models](https://huggingface.co/models?pipeline_tag=text2text-generation&sort=downloads) have a separate pipeline called `text2text-generation`. This pipeline takes an input containing the sentence including the task and returns the output of the accomplished task.

```python
from transformers import pipeline

text2text_generator = pipeline("text2text-generation")
text2text_generator("question: What is 42 ? context: 42 is the answer to life, the universe and everything")
[{'generated_text': 'the answer to life, the universe and everything'}]

text2text_generator("translate from English to French: I'm very happy")
[{'generated_text': 'Je suis très heureux'}]
```

You can use [huggingface.js](https://github.com/huggingface/huggingface.js) to infer text classification models on Hugging Face Hub.

```javascript
Expand Down
51 changes: 0 additions & 51 deletions packages/tasks/src/tasks/text2text-generation/inference.ts
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54 changes: 0 additions & 54 deletions packages/tasks/src/tasks/text2text-generation/spec/input.json
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14 changes: 0 additions & 14 deletions packages/tasks/src/tasks/text2text-generation/spec/output.json
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2 changes: 1 addition & 1 deletion packages/tasks/src/tasks/translation/data.ts
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@@ -1,7 +1,7 @@
import type { TaskDataCustom } from "../index.js";

const taskData: TaskDataCustom = {
canonicalId: "text2text-generation",
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same here ?

canonicalId: "text-generation",
datasets: [
{
description: "A dataset of copyright-free books translated into 16 different languages.",
Expand Down
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