Instructions to use error577/942cfd35-534e-4ab7-9dd2-335ce292d7c2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/942cfd35-534e-4ab7-9dd2-335ce292d7c2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("hf-tiny-model-private/tiny-random-OPTForCausalLM") model = PeftModel.from_pretrained(base_model, "error577/942cfd35-534e-4ab7-9dd2-335ce292d7c2") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from error577/942cfd35-534e-4ab7-9dd2-335ce292d7c2: direct link, hf CLI and curl.
- Browser
- Download file 48.7 kB
-
https://huggingface.co/error577/942cfd35-534e-4ab7-9dd2-335ce292d7c2/resolve/3abae98d787e0595edd217baad8b198d92f0bc91/adapter_model.bin
- Command line
-
hf download hf://error577/942cfd35-534e-4ab7-9dd2-335ce292d7c2@3abae98d787e0595edd217baad8b198d92f0bc91/adapter_model.bin
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curl -L -o adapter_model.bin https://huggingface.co/error577/942cfd35-534e-4ab7-9dd2-335ce292d7c2/resolve/3abae98d787e0595edd217baad8b198d92f0bc91/adapter_model.bin
48.7 kB
- Xet hash:
- a267a3c29407c0e6c3277163cafc104f881a83c10c8d5e20ab4dbeb9c07215a4
- Size of remote file:
- 48.7 kB
- SHA256:
- 872e8ff6e68b598487ed4c77e805c1cadcdbfa66b781a3727616bf89c17eafd9
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