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Richer conversational snippet for AutoModel #1611

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Merged
merged 5 commits into from
Jul 17, 2025
Merged

Richer conversational snippet for AutoModel #1611

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20645c6
Richer conversational snippet for AutoModel
pcuenca Jul 11, 2025
17de855
Merge remote-tracking branch 'origin/main' into conversational-model-…
pcuenca Jul 11, 2025
bd84b82
Lint, fixes
pcuenca Jul 11, 2025
80e6037
lint trailing comma
pcuenca Jul 11, 2025
51efc48
Merge branch 'main' into conversational-model-snippet
Vaibhavs10 Jul 16, 2025
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53 changes: 42 additions & 11 deletions packages/tasks/src/model-libraries-snippets.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -1373,27 +1373,58 @@ export const transformers = (model: ModelData): string[] => {
}
const remote_code_snippet = model.tags.includes(TAG_CUSTOM_CODE) ? ", trust_remote_code=True" : "";

let autoSnippet: string;
const autoSnippet = [];
if (info.processor) {
const varName =
const processorVarName =
info.processor === "AutoTokenizer"
? "tokenizer"
: info.processor === "AutoFeatureExtractor"
? "extractor"
: "processor";
autoSnippet = [
autoSnippet.push(
"# Load model directly",
`from transformers import ${info.processor}, ${info.auto_model}`,
"",
`${varName} = ${info.processor}.from_pretrained("${model.id}"` + remote_code_snippet + ")",
`model = ${info.auto_model}.from_pretrained("${model.id}"` + remote_code_snippet + ")",
].join("\n");
`${processorVarName} = ${info.processor}.from_pretrained("${model.id}"` + remote_code_snippet + ")",
`model = ${info.auto_model}.from_pretrained("${model.id}"` + remote_code_snippet + ")"
);
if (model.tags.includes("conversational")) {
if (model.tags.includes("image-text-to-text")) {
autoSnippet.push(
"messages = [",
[
" {",
' "role": "user",',
' "content": [',
' {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},',
' {"type": "text", "text": "What animal is on the candy?"}',
" ]",
" },",
].join("\n"),
"]"
);
} else {
autoSnippet.push("messages = [", ' {"role": "user", "content": "Who are you?"},', "]");
}
autoSnippet.push(
"inputs = ${processorVarName}.apply_chat_template(",
" messages,",
" add_generation_prompt=True,",
" tokenize=True,",
" return_dict=True,",
' return_tensors="pt",',
").to(model.device)",
"",
"outputs = model.generate(**inputs, max_new_tokens=40)",
'print(${processorVarName}.decode(outputs[0][inputs["input_ids"].shape[-1]:]))'
);
}
} else {
autoSnippet = [
autoSnippet.push(
"# Load model directly",
`from transformers import ${info.auto_model}`,
`model = ${info.auto_model}.from_pretrained("${model.id}"` + remote_code_snippet + ")",
].join("\n");
`model = ${info.auto_model}.from_pretrained("${model.id}"` + remote_code_snippet + ', torch_dtype="auto"),'
);
}

if (model.pipeline_tag && LIBRARY_TASK_MAPPING.transformers?.includes(model.pipeline_tag)) {
Expand Down Expand Up @@ -1437,9 +1468,9 @@ export const transformers = (model: ModelData): string[] => {
);
}

return [pipelineSnippet.join("\n"), autoSnippet];
return [pipelineSnippet.join("\n"), autoSnippet.join("\n")];
}
return [autoSnippet];
return [autoSnippet.join("\n")];
};

export const transformersJS = (model: ModelData): string[] => {
Expand Down
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