Instructions to use keisuke-miyako/bge-m3-lemur-r4-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use keisuke-miyako/bge-m3-lemur-r4-adapter with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("BAAI/bge-m3") model = PeftModel.from_pretrained(base_model, "keisuke-miyako/bge-m3-lemur-r4-adapter") - Notebooks
- Google Colab
- Kaggle
bge-m3-lemur-r4 LoRA adapter
LoRA adapter (r=32) fine-tuned on LEMUR dataset. Dataset: keisuke-miyako/bge-m3-lemur-r3
Load
from peft import PeftModel
from transformers import AutoModel
base = AutoModel.from_pretrained("BAAI/bge-m3")
model = PeftModel.from_pretrained(base, "keisuke-miyako/bge-m3-lemur-r4-adapter")
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Base model
BAAI/bge-m3