Instructions to use IvanSem/avito_bge_reranker_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use IvanSem/avito_bge_reranker_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("BAAI/bge-reranker-v2-m3") model = PeftModel.from_pretrained(base_model, "IvanSem/avito_bge_reranker_lora") - Transformers
How to use IvanSem/avito_bge_reranker_lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("IvanSem/avito_bge_reranker_lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4786592ea7559ad79ac9adb5350927747fb7d0e28b608784f8cf9cd36906c228
- Size of remote file:
- 17.1 MB
- SHA256:
- 5df1f55d60c9705a501ab9a75550728625740741fe4be308dac4806c16b7d51d
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