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:
- 65083e2408b6009317b4e8c2ec29f03338f5e1ca91d6a2b3941aff79c4ae8064
- Size of remote file:
- 320 MB
- SHA256:
- 4849b9ffc18c1f5d8bbd33d7d811d611b0e7dda2a7a6f94bd9bf54a63941f9d2
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