Text Classification
PEFT
Safetensors
English
reranker
memory-retrieval
long-term-memory
dialog
lora
distillation
lycheemem
Instructions to use fuhao23/reranker_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fuhao23/reranker_v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("Qwen/Qwen3-Reranker-0.6B") model = PeftModel.from_pretrained(base_model, "fuhao23/reranker_v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29ee15222ee14dc00bcf81a82e9b713476fb270527314838cfa7ce3fd2ec07b9
- Size of remote file:
- 11.4 MB
- SHA256:
- 1574cf58b63a2a56db9bc28f6ddcac4ece87690840939153189077692486f4ee
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.