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))
```
{"license": "apache-2.0"}
transformers pytorch mistral text-generation conversational license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us