Instructions to use nboost/pt-tinybert-msmarco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nboost/pt-tinybert-msmarco with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nboost/pt-tinybert-msmarco", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c502e8e5d8c54a0a55615db7385d7a390b0dc1f92d259c7ef6c93294952127d
- Size of remote file:
- 57.4 MB
- SHA256:
- 88505548fdc53b43b34ee1f8840914512ea6ddcb0b75474fb02a743f59b4dd1e
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