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:
- 3d5016ae8967b9fa65bb2e1a45f0cc1919bc4af0078ffd61ce6ac3d235d77584
- Size of remote file:
- 6.78 kB
- SHA256:
- c9b088d037ada01117b59f4a5dacc47ce53bbba6fb566f8e2382d8d79a4fa0ce
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