Instructions to use sebastian-hofstaetter/distilbert-cat-margin_mse-T2-msmarco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sebastian-hofstaetter/distilbert-cat-margin_mse-T2-msmarco with Transformers:
# Load model directly from transformers import BERT_Cat model = BERT_Cat.from_pretrained("sebastian-hofstaetter/distilbert-cat-margin_mse-T2-msmarco", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e87635adc6f9068a7545b3af2f0c3c40b64bb62bba0a1c9fea43fe1bd2fe9b2b
- Size of remote file:
- 265 MB
- SHA256:
- 390e15c0bbed9cb3c909ffeb6f89b910db673e12f23e9c2366d9c9c4e267ed2d
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