Update README.md

README.md

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 ---
 license: mit
+datasets:
+- cerebras/SlimPajama-627B
+- HuggingFaceH4/ultrachat_200k
+- bigcode/starcoderdata
+language:
+- en
+metrics:
+- accuracy
+library_name: transformers
+tags:
+- HelpingAI
+- coder
+- lite
+- Fine-tuned
+- Text-Generation
+- Transformers
 ---
+# HelpingAI-Lite
+
+HelpingAI-Lite is a lite version of the HelpingAI model that can assist with coding tasks. It's trained on a diverse range of datasets and fine-tuned to provide accurate and helpful responses.
+
+## License
+
+This model is licensed under MIT.
+
+## Datasets
+
+The model was trained on the following datasets:
+- cerebras/SlimPajama-627B
+- bigcode/starcoderdata
+- HuggingFaceH4/ultrachat_200k
+- HuggingFaceH4/ultrafeedback_binarized
+
+## Language
+
+The model supports English language.
+
+## Usage
+
+Here's an example of how to use the model:
+
+```python
+from transformers import pipeline
+
+pipe = pipeline("text-generation", model="OEvortex/HelpingAI-Lite")
+
+messages = [
+    {
+        "role": "system",
+        "content": "You are a chatbot who can help code!",
+    },
+    {
+        "role": "user",
+        "content": "Write me a function to calculate the first 10 digits of the fibonacci sequence in Python and print it out to the CLI.",
+    },
+]
+
+prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])