Instructions to use taopanda/test-codellama-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use taopanda/test-codellama-7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "taopanda/test-codellama-7b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed5fe46d8b6d4b2260b4e49d10cf8cf58232fa1e3deb350a864e12521b268e16
- Size of remote file:
- 6.33 kB
- SHA256:
- b02b032b32e89d7a00d5b9d32c401a93dbfee95484015dbb6fd4028579b7e51a
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