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:
- 6ff4b34efb1b4c379e05c4d102864af6c0c5ca32d9b3491316232d8b1f189e12
- Size of remote file:
- 5.2 kB
- SHA256:
- 1cc1c5b6456a48d8d0ecb6e6f35828eb017595e45f51d06042640c2a208d5c8c
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