Instructions to use FareedKhan/peft_bge-m3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FareedKhan/peft_bge-m3 with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("BAAI/bge-m3") model = PeftModel.from_pretrained(base_model, "FareedKhan/peft_bge-m3") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from FareedKhan/peft_bge-m3: direct link, hf CLI and curl.
- Browser
- Download file 1.58 MB
-
https://huggingface.co/FareedKhan/peft_bge-m3/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://FareedKhan/peft_bge-m3/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/FareedKhan/peft_bge-m3/resolve/main/adapter_model.safetensors
1.58 MB
- Xet hash:
- 189598bd1e7e5e5029b35ce287e2d1c8a11b2ff00773682585cb18d68696bf1a
- Size of remote file:
- 1.58 MB
- SHA256:
- aeb247c08a3d3b628d10c4ec1d9c72a1b850e7fceb567f368ba1744176cd1a49
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