Instructions to use InfiniFlow/bce-reranker-base_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InfiniFlow/bce-reranker-base_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="InfiniFlow/bce-reranker-base_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("InfiniFlow/bce-reranker-base_v1") model = AutoModelForSequenceClassification.from_pretrained("InfiniFlow/bce-reranker-base_v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdfc491bf5688aac5406092735a63d64decbc5e6e7b9b614bedb73aad514d404
- Size of remote file:
- 17.1 MB
- SHA256:
- 21106b6d7dab2952c1d496fb21d5dc9db75c28ed361a05f5020bbba27810dd08
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