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fixed a python file #211
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fixed a python file #211
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| from transformers import pipeline | ||
|
|
||
| try: | ||
| model_id = "openai/gpt-oss-20b" | ||
| pipe = pipeline("text-generation", model=model_id, torch_dtype="auto", device_map="auto") | ||
| except Exception as e: | ||
| print("⚠️ Could not load gpt-oss-20b, falling back to gpt2.") | ||
| print("Error:", e) | ||
| model_id = "gpt2" | ||
| pipe = pipeline("text-generation", model=model_id) | ||
|
|
||
| messages = [{"role": "user", "content": "Explain quantum mechanics clearly and concisely."}] | ||
| outputs = pipe(messages, max_new_tokens=100) | ||
| print(outputs[0]["generated_text"]) | ||
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The script calls
pipeline("text-generation")withmessagesdefined as a list of role/content dictionaries and passes that list directly topipe(...). The text-generation pipeline in Transformers expects a single prompt string (or list of strings), so this will raise aTypeError/ValueErrorbefore any generation occurs, both for the intendedopenai/gpt-oss-20bmodel and for the gpt2 fallback. Converting the message to a textual prompt (or using a chat-capable pipeline) is required for the script to run.Useful? React with 👍 / 👎.