Instructions to use Capreolus/birch-bert-large-msmarco_mb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Capreolus/birch-bert-large-msmarco_mb with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForNextSentencePrediction tokenizer = AutoTokenizer.from_pretrained("Capreolus/birch-bert-large-msmarco_mb") model = AutoModelForNextSentencePrediction.from_pretrained("Capreolus/birch-bert-large-msmarco_mb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 037633825d1c0d9d722af6952372d0a218480e8e3dd90fe70ae994b9f19c46bc
- Size of remote file:
- 1.34 GB
- SHA256:
- a5ce256bf49ea07ed7d66f130b6b454965aee34cd015ecd0d9e38580aa6edf85
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