Update README.md

README.md

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----
-license: llama2
----
+---
+license: llama2
+base_model: meta-llama/CodeLlama-70b-Python-hf
+tags:
+  - code
+  - code-generation
+  - tab-completion
+  - python
+  - llama
+  - finetuned
+language:
+  - code
+---
+
+# Python Tab Completion CodeLlama 70B
+
+## Model Description
+
+This is a finetuned version of Code-Llama-70B specifically optimized for Python tab completion tasks. The model excels at predicting the next tokens in Python code, making it ideal for IDE autocomplete features and code assistance tools.
+
+## Intended Use
+
+- **Primary use case**: Python code tab completion in IDEs and code editors
+- **Secondary uses**: 
+  - Code generation
+  - Code explanation
+  - Python snippet completion
+
+## Usage
+
+### Quick Start
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_id = "emissary-ai/Python-Tab-Completion-CodeLlama-70b"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.float16,
+    device_map="auto"
+)
+
+# Example: Complete Python code
+prompt = "def calculate_average(numbers):\n    "
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_length=100, temperature=0.7)
+completion = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(completion)