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.safetensors from error577/942cfd35-534e-4ab7-9dd2-335ce292d7c2: direct link, hf CLI and curl.
- Browser
- Download file 34.6 kB
-
https://huggingface.co/error577/942cfd35-534e-4ab7-9dd2-335ce292d7c2/resolve/eb8b8c608cd5b44e0525128e693c37f7d8b3d727/adapter_model.safetensors
- Command line
-
hf download hf://error577/942cfd35-534e-4ab7-9dd2-335ce292d7c2@eb8b8c608cd5b44e0525128e693c37f7d8b3d727/adapter_model.safetensors
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curl -L -o adapter_model.safetensors https://huggingface.co/error577/942cfd35-534e-4ab7-9dd2-335ce292d7c2/resolve/eb8b8c608cd5b44e0525128e693c37f7d8b3d727/adapter_model.safetensors
34.6 kB
- Xet hash:
- ca46a8e42ae4867d1af22186a00d753ef6594746224557b40a3f89b414dc70d8
- Size of remote file:
- 34.6 kB
- SHA256:
- dc681ff988d3ddf0ba0674c4c45b02e1a58aa4f20a99f558d9d314c25cb2b372
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