---
language:
- en
- th
library_name: transformers
base_model:
- meta-llama/Llama-3.2-1B
tags:
  - text-generation
pipeline_tag: text-generation
inference:
  parameters:
    temperature: 0.5
widget:
- messages:
  - role: user
    content: What is your favorite condiment?
---


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---
---

# LLaMA 3 Fine-Tuned Model

This is a fine-tuned version of the LLaMA 3 model . Below is an example of how to use it:

## Example Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Pection/llama3-finetune")
model = AutoModelForCausalLM.from_pretrained("Pection/llama3-finetune")

# Generate response
prompt = "Where is Bangkok?"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=50)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(response)