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:

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)