Instructions to use denbeo/27b82f97-6c70-4688-bcac-9d04a5cae879 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use denbeo/27b82f97-6c70-4688-bcac-9d04a5cae879 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lmsys/vicuna-13b-v1.5") model = PeftModel.from_pretrained(base_model, "denbeo/27b82f97-6c70-4688-bcac-9d04a5cae879") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63f9e496d85158c6e5d01c9286b6be585399b5787de546c4db5e5da23615c62c
- Size of remote file:
- 125 MB
- SHA256:
- bfc05d5e174d7b889acd11d1be7ea1f50d85ae1ddb2a81cf3bb39d6a25e0de6e
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