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---

tags:
- autotrain
- text-generation-inference
- text-generation
- peft
library_name: transformers
base_model: mistralai/Mistral-7B-Instruct-v0.3
widget:
  - messages:
      - role: user
        content: What is your favorite condiment?
license: other
---


# Model Trained Using AutoTrain

This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).

# Usage

```python



from transformers import AutoModelForCausalLM, AutoTokenizer



model_path = "PATH_TO_THIS_REPO"



tokenizer = AutoTokenizer.from_pretrained(model_path)

model = AutoModelForCausalLM.from_pretrained(

    model_path,

    device_map="auto",

    torch_dtype='auto'

).eval()



# Prompt content: "hi"

messages = [

    {"role": "user", "content": "hi"}

]



input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')

output_ids = model.generate(input_ids.to('cuda'))

response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)



# Model response: "Hello! How can I assist you today?"

print(response)

```