Instructions to use eeeebbb2/ce794c97-ab3d-4983-8fd9-ecb98ac48446 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/ce794c97-ab3d-4983-8fd9-ecb98ac48446 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, "eeeebbb2/ce794c97-ab3d-4983-8fd9-ecb98ac48446") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e439f0ad569052991665699e2808d6e08fb22d082c3fa346e12cfa4f1071d2db
- Size of remote file:
- 320 MB
- SHA256:
- ab76717a59f4c4c65ad80d9255137e303be40471c938abfff79968d20369f803
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