Description
Xea is a 7 Billion Paramater model developed by Pranav for assisting. This model is based on the Language Model (LLM) architecture.
Features
- Code Assistance: Provides recommendations and suggestions.
- Merge Model: Combines multiple models for enhanced performance.
- Developed by Pranav: Created by Pranav, a skilled developer in the field.
Usage
Load the model: python from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("pranavajay/xea-7b") tokenizer = AutoTokenizer.from_pretrained("pranavajay/xea-7b")
help assistance: python input_text = "Write a name of anime series ." input_ids = tokenizer.encode(input_text, return_tensors="pt") output = model.generate(input_ids, max_length=100, num_return_sequences=1) result = tokenizer.decode(output[0], skip_special_tokens=True) print(result)
Acknowledgements
- This model is based on the Hugging Face Transformers library.
- Special thanks to Pranav for developing and sharing this merge model for the developer community.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Please customize this template with specific details about your Model CodeHelp-30b repository. If you have any further questions or need assistance, feel free to reach out.
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