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