Instructions to use thalllsssss/b5ca771d-a9be-4c81-b54b-9b88ab154063 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thalllsssss/b5ca771d-a9be-4c81-b54b-9b88ab154063 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lmsys/vicuna-7b-v1.3") model = PeftModel.from_pretrained(base_model, "thalllsssss/b5ca771d-a9be-4c81-b54b-9b88ab154063") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5e68c408c2424c25fc4a47a7ddfc4043a058db8aefcf69e126760d4509d5b83
- Size of remote file:
- 80 MB
- SHA256:
- 858acd6b0724a14802664a365801e9415971e5d51cdee0f5eda06bb2b0bc64d1
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