Instructions to use ttkhang202/bge-reranker-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ttkhang202/bge-reranker-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ttkhang202/bge-reranker-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ttkhang202/bge-reranker-base") model = AutoModelForSequenceClassification.from_pretrained("ttkhang202/bge-reranker-base") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files
model.safetensors
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runs/May31_10-36-06_efe8cc37b74e/events.out.tfevents.1717151784.efe8cc37b74e.193.0
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training_args.bin
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