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 tokenizer.json from FareedKhan/peft_bge-m3: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/FareedKhan/peft_bge-m3/resolve/main/tokenizer.json
- Command line
-
hf download hf://FareedKhan/peft_bge-m3/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/FareedKhan/peft_bge-m3/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 139136db2b5c557005e3c8018093a2bce5be5db0027e303954f9f192b6ea8bfd
- Size of remote file:
- 17.1 MB
- SHA256:
- 249df0778f236f6ece390de0de746838ef25b9d6954b68c2ee71249e0a9d8fd4
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