Add model card README

README.md

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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)