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:
- 788ce44f357efae84259deb73b0193ac9f1e7cbdc7da04ce9a4b03c4515069ec
- Size of remote file:
- 15 kB
- SHA256:
- f5f5abfa1119d5796caf489424cfef84705628776f9cc8c42249969051b09e5e
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