Instructions to use kk-aivio/28767f9b-d9e9-4f3f-b925-b1fc702bccb8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/28767f9b-d9e9-4f3f-b925-b1fc702bccb8 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/28767f9b-d9e9-4f3f-b925-b1fc702bccb8") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kk-aivio/28767f9b-d9e9-4f3f-b925-b1fc702bccb8: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/kk-aivio/28767f9b-d9e9-4f3f-b925-b1fc702bccb8/resolve/main/training_args.bin
- Command line
-
hf download hf://kk-aivio/28767f9b-d9e9-4f3f-b925-b1fc702bccb8/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kk-aivio/28767f9b-d9e9-4f3f-b925-b1fc702bccb8/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 24b135fbad4c25238a30c35c85a8a7066c5785dbd856897ba6a1c4d449903f0e
- Size of remote file:
- 6.78 kB
- SHA256:
- 92466c5a060d60738988909adca07aa6d398afb7fa8c2eececced09c1ac54ca7
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