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