Instructions to use shibajustfor/97e6c917-e820-40ce-af2e-b33a1b676b69 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shibajustfor/97e6c917-e820-40ce-af2e-b33a1b676b69 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-1_5") model = PeftModel.from_pretrained(base_model, "shibajustfor/97e6c917-e820-40ce-af2e-b33a1b676b69") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from shibajustfor/97e6c917-e820-40ce-af2e-b33a1b676b69: direct link, hf CLI and curl.
- Browser
- Download file 28.4 MB
-
https://huggingface.co/shibajustfor/97e6c917-e820-40ce-af2e-b33a1b676b69/resolve/main/adapter_model.bin
- Command line
-
hf download hf://shibajustfor/97e6c917-e820-40ce-af2e-b33a1b676b69/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/shibajustfor/97e6c917-e820-40ce-af2e-b33a1b676b69/resolve/main/adapter_model.bin
28.4 MB
- Xet hash:
- 22fc63f8fac558824b045a3e3663a4ed9a30b70b38724931d1bd95dac1ed1720
- Size of remote file:
- 28.4 MB
- SHA256:
- 0de3e5ea7e66fe8c92ffc0cd7675d6f9fa7314ded3ce821fa66b5a29a115db6c
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