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README.md
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@@ -104,9 +104,3 @@ prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_ge
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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## Evaluation
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from datasets import load_dataset
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data = load_dataset("open-llm-leaderboard/details_OmnicromsBrain__NeuralStar_AlphaWriter_4x7b",
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"harness_winogrande_5",
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split="train")
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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