Instructions to use eeeebbb2/c212dcca-061b-4206-a3af-bbafc22c6c24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/c212dcca-061b-4206-a3af-bbafc22c6c24 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/c212dcca-061b-4206-a3af-bbafc22c6c24") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ee8aea761db458c83c1c668e6cc59921c6d819b89d6562e1ed64ceb8b5bc388
- Size of remote file:
- 320 MB
- SHA256:
- bfe4cd9a059e58e56a221f6eb086de711fb48f171e8dc20e2434ac4d17e882fe
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