Instructions to use nboost/pt-bert-base-uncased-msmarco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nboost/pt-bert-base-uncased-msmarco with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nboost/pt-bert-base-uncased-msmarco", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7fe82517c077e841058f74cd41be62600fe04013a0a7023529161f82feeaf39f
- Size of remote file:
- 438 MB
- SHA256:
- 48c7fe4842825e762abce7e67b94ad8f4f476428d42b0689c4930ccc728dff0d
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