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---
model-name: LlamaFineTuned
model-type: Causal Language Model
license: apache-2.0
tags:
- text-generation
- conversational-ai
- llama
- fine-tuned
---
# LlamaFineTuned
This model is a fine-tuned version of Meta's Llama model, designed for conversational AI and text generation tasks. It has been fine-tuned on a specific dataset to improve its performance on a particular set of tasks.
## Model Details
- **Model Name:** LlamaFineTuned
- **Base Model:** Meta Llama
- **Model Type:** Causal Language Model
- **License:** Apache 2.0
- **Training Data:** [Specify the dataset used for fine-tuning]
- **Intended Use:** Conversational AI, text generation
- **Limitations:** [Specify any limitations of the model]
## How to Use
You can use this model with the Hugging Face Transformers library:
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_name = "karthik1830/LlamaFineTuned"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
# Generate text
prompt = "Hello, how are you?"
input_ids = tokenizer.encode(prompt, return_tensors="pt")
output = model.generate(input_ids, max_length=100, num_return_sequences=1)
generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
print(generated_text) |