Instructions to use prxy5607/1ef412fc-d741-43aa-90b8-eafdeef200f3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5607/1ef412fc-d741-43aa-90b8-eafdeef200f3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Intel/neural-chat-7b-v3-3") model = PeftModel.from_pretrained(base_model, "prxy5607/1ef412fc-d741-43aa-90b8-eafdeef200f3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad69c789127e571409e761e48649237a5e9cfc558fa53dedd91fd51e592accb4
- Size of remote file:
- 671 MB
- SHA256:
- 75cf0af62a38d54ecb4d7713679d617645ed701e6fc22a9846af2ffc560d14f6
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