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:
- eb6b0b41c24aeb500c4e66f75243c22feb1ae7718162ac893113cf79d578cfcc
- Size of remote file:
- 419 MB
- SHA256:
- e707a1d3d0417a4d3ba207d7d174e1fc46855776df5b17a1695fd59ee8e031b5
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