Instructions to use J-MADRAL/R-BiBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use J-MADRAL/R-BiBERT with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("J-MADRAL/R-BiBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Create README.md
Browse files
README.md
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---
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license: cc-by-4.0
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datasets:
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- J-MADRAL/AmazonESCI
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language:
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- en
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metrics:
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- recall
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- trec_eval
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base_model:
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- google-bert/bert-base-uncased
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pipeline_tag: text-ranking
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tags:
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- ReviewSearch
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---
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