Instructions to use FareedKhan/peft_epoch_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FareedKhan/peft_epoch_1 with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("intfloat/multilingual-e5-large-instruct") model = PeftModel.from_pretrained(base_model, "FareedKhan/peft_epoch_1") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from FareedKhan/peft_epoch_1: direct link, hf CLI and curl.
- Browser
- Download file 4.74 MB
-
https://huggingface.co/FareedKhan/peft_epoch_1/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://FareedKhan/peft_epoch_1/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/FareedKhan/peft_epoch_1/resolve/main/adapter_model.safetensors
4.74 MB
- Xet hash:
- 28ce6647307dc9cec3ed8053ef7b2a0694cd807a0a8a0e64c6aff8b6299e892f
- Size of remote file:
- 4.74 MB
- SHA256:
- 9e4b17cace2114452ad5b9397f2d30e0126915067b15f440ae9b1a2d671e9145
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.