Instructions to use cimol/85d5500f-577e-4c16-be0b-9b41451bd06e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cimol/85d5500f-577e-4c16-be0b-9b41451bd06e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b") model = PeftModel.from_pretrained(base_model, "cimol/85d5500f-577e-4c16-be0b-9b41451bd06e") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from cimol/85d5500f-577e-4c16-be0b-9b41451bd06e: direct link, hf CLI and curl.
- Browser
- Download file 671 MB
-
https://huggingface.co/cimol/85d5500f-577e-4c16-be0b-9b41451bd06e/resolve/1b5da4f84bf78c8efdeff4ba7e1063be4d503c4f/adapter_model.safetensors
- Command line
-
hf download hf://cimol/85d5500f-577e-4c16-be0b-9b41451bd06e@1b5da4f84bf78c8efdeff4ba7e1063be4d503c4f/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/cimol/85d5500f-577e-4c16-be0b-9b41451bd06e/resolve/1b5da4f84bf78c8efdeff4ba7e1063be4d503c4f/adapter_model.safetensors
671 MB
- Xet hash:
- 6c2355ddb9de391f2ebf5f296380de9c9159a0e2093ce441bfe19b24561ca201
- Size of remote file:
- 671 MB
- SHA256:
- 25c2e719684a478384401966f2e52aee8f94c0dfae15726b4bc68ec42eefa40c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.