Update README.md

README.md

@@ -46,4 +46,35 @@ 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)
+print(completion)
+
+# Limitations
+
+- Optimized specifically for Python; performance on other languages may vary
+- Best suited for short to medium-length completions
+- May require significant computational resources due to model size (70B parameters)
+
+# Ethical Considerations
+
+- Should not be used as the sole tool for production code without human review
+- May reflect biases present in the training data
+- Generated code should be tested and validated before deployment
+
+# License
+
+This model is subject to the Meta Llama 2 Community License Agreement. By using this model, you agree to the terms of the Llama 2 license.
+
+# Citation
+
+If you use this model in your research or applications, please cite:
+```
+@misc{python-tab-completion-codellama-70b,
+  author = {Emissary AI},
+  title = {Python Tab Completion CodeLlama 70B},
+  year = {2024},
+  publisher = {Hugging Face},
+  howpublished = {\url{https://huggingface.co/emissary-ai/Python-Tab-Completion-CodeLlama-70b}}
+}
+```
+# Contact
+For questions or issues, please open an issue in the Community tab.