Instructions to use error577/cab8e368-9316-42bd-b40f-817b565378af with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/cab8e368-9316-42bd-b40f-817b565378af with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-14m") model = PeftModel.from_pretrained(base_model, "error577/cab8e368-9316-42bd-b40f-817b565378af") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/adapter_model.safetensors from error577/cab8e368-9316-42bd-b40f-817b565378af: direct link, hf CLI and curl.
- Browser
- Download file 3.15 MB
-
https://huggingface.co/error577/cab8e368-9316-42bd-b40f-817b565378af/resolve/main/last-checkpoint/adapter_model.safetensors
- Command line
-
hf download hf://error577/cab8e368-9316-42bd-b40f-817b565378af/last-checkpoint/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/error577/cab8e368-9316-42bd-b40f-817b565378af/resolve/main/last-checkpoint/adapter_model.safetensors
3.15 MB
- Xet hash:
- f3f6466e871190d02a360cb88da670d614652507d1520212f55ba06d5881192f
- Size of remote file:
- 3.15 MB
- SHA256:
- 7cf2154ecf2487bf36f5051a816a203ee011927cdb923eb05844ccc5d35c437a
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