Instructions to use kk-aivio/b90bff2f-226e-48c0-a878-ef39a7c280a0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/b90bff2f-226e-48c0-a878-ef39a7c280a0 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, "kk-aivio/b90bff2f-226e-48c0-a878-ef39a7c280a0") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from kk-aivio/b90bff2f-226e-48c0-a878-ef39a7c280a0: direct link, hf CLI and curl.
- Browser
- Download file 84 MB
-
https://huggingface.co/kk-aivio/b90bff2f-226e-48c0-a878-ef39a7c280a0/resolve/main/adapter_model.bin
- Command line
-
hf download hf://kk-aivio/b90bff2f-226e-48c0-a878-ef39a7c280a0/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/kk-aivio/b90bff2f-226e-48c0-a878-ef39a7c280a0/resolve/main/adapter_model.bin
84 MB
- Xet hash:
- 62b6a04cdbfd16f1dd833357a591d6d57c47ec86c2475f2206b6bc3c8cc58c69
- Size of remote file:
- 84 MB
- SHA256:
- 56ba3d27dc389de35f85c29ff17e66c809b56489ea5d6c15c8705467794c6388
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