Instructions to use cimol/7420024c-e959-4742-aa78-52868495378c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cimol/7420024c-e959-4742-aa78-52868495378c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("facebook/opt-350m") model = PeftModel.from_pretrained(base_model, "cimol/7420024c-e959-4742-aa78-52868495378c") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from cimol/7420024c-e959-4742-aa78-52868495378c: direct link, hf CLI and curl.
- Browser
- Download file 114 MB
-
https://huggingface.co/cimol/7420024c-e959-4742-aa78-52868495378c/resolve/main/adapter_model.bin
- Command line
-
hf download hf://cimol/7420024c-e959-4742-aa78-52868495378c/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/cimol/7420024c-e959-4742-aa78-52868495378c/resolve/main/adapter_model.bin
114 MB
- Xet hash:
- a55d34bdcea3678a690be589e5ba21f66322ae6d07e89aca8cb95aa11a262a69
- Size of remote file:
- 114 MB
- SHA256:
- 2f2ac126ac694d824e338a02391a908a5cdac87072820fe80541dccad09f56af
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