Instructions to use baby-dev/e5e328d8-2084-43bc-a017-a1bccadeae3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baby-dev/e5e328d8-2084-43bc-a017-a1bccadeae3d 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, "baby-dev/e5e328d8-2084-43bc-a017-a1bccadeae3d") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from baby-dev/e5e328d8-2084-43bc-a017-a1bccadeae3d: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/baby-dev/e5e328d8-2084-43bc-a017-a1bccadeae3d/resolve/main/adapter_model.bin
- Command line
-
hf download hf://baby-dev/e5e328d8-2084-43bc-a017-a1bccadeae3d/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/baby-dev/e5e328d8-2084-43bc-a017-a1bccadeae3d/resolve/main/adapter_model.bin
336 MB
- Xet hash:
- 232fedbcadf443efc809e93c716a652feef6754a96e91dd6b89a72ac271c15fe
- Size of remote file:
- 336 MB
- SHA256:
- 70cba1d73024b64645dbbda238bdc195b09d8a188f103ada65b0b30b2a8a970b
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