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license: apache-2.0 |
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Model generated using the Glaive platform - https://app.glaive.ai |
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Use the following script- |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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import torch |
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model_path = "sahil2801/persuasion_model_glaive" |
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tokenizer = AutoTokenizer.from_pretrained(model_path) |
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model = AutoModelForCausalLM.from_pretrained(model_path).half().cuda() |
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prompt = '''Claim: <> \n\n Thought: <>''' |
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inputs = tokenizer(prompt,return_tensors="pt").to(model.device) |
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outputs = model.generate(**inputs,do_sample=True,eos_token_id=tokenizer.eos_token_id,temperature=0.9,max_new_tokens=1500) |
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print(tokenizer.decode(outputs[0],skip_special_tokens=True)) |
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``` |
