Instructions to use kk-aivio/4b965d6b-b099-462c-a0fa-8d0e5ec1fc3a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/4b965d6b-b099-462c-a0fa-8d0e5ec1fc3a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("echarlaix/tiny-random-mistral") model = PeftModel.from_pretrained(base_model, "kk-aivio/4b965d6b-b099-462c-a0fa-8d0e5ec1fc3a") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from kk-aivio/4b965d6b-b099-462c-a0fa-8d0e5ec1fc3a: direct link, hf CLI and curl.
- Browser
- Download file 37.5 kB
-
https://huggingface.co/kk-aivio/4b965d6b-b099-462c-a0fa-8d0e5ec1fc3a/resolve/main/adapter_model.bin
- Command line
-
hf download hf://kk-aivio/4b965d6b-b099-462c-a0fa-8d0e5ec1fc3a/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/kk-aivio/4b965d6b-b099-462c-a0fa-8d0e5ec1fc3a/resolve/main/adapter_model.bin
37.5 kB
- Xet hash:
- df5d359c94a4c5a404a9d40eff314ac64bd0615fc561cbee42f39ecdbd37d353
- Size of remote file:
- 37.5 kB
- SHA256:
- 25ba1705ceacb905125d051c93c499f170f2d6efbb8755f63288d05cfb41fa3f
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