Instructions to use error577/971b6262-db66-4425-9343-2bd7e9bef88e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/971b6262-db66-4425-9343-2bd7e9bef88e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-160m") model = PeftModel.from_pretrained(base_model, "error577/971b6262-db66-4425-9343-2bd7e9bef88e") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from error577/971b6262-db66-4425-9343-2bd7e9bef88e: direct link, hf CLI and curl.
- Browser
- Download file 18.9 MB
-
https://huggingface.co/error577/971b6262-db66-4425-9343-2bd7e9bef88e/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://error577/971b6262-db66-4425-9343-2bd7e9bef88e/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/error577/971b6262-db66-4425-9343-2bd7e9bef88e/resolve/main/adapter_model.safetensors
18.9 MB
- Xet hash:
- 13b6db2eee6be60191b5cbaa5b2df152c95f05baec9d3dae802b71276c710f12
- Size of remote file:
- 18.9 MB
- SHA256:
- 5b53efc9423db8c4acc71189dfb84470883e130a812018b22a44ce4bbf745018
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