Instructions to use GleghornLab/cdsBERT-plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GleghornLab/cdsBERT-plus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="GleghornLab/cdsBERT-plus")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("GleghornLab/cdsBERT-plus") model = AutoModel.from_pretrained("GleghornLab/cdsBERT-plus") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42d1d0816c1b457fc9e8b995099f60931ecb7fcd745c1e742d137ae1f799041e
- Size of remote file:
- 840 MB
- SHA256:
- 42105730210311b56c6b1db4bc16e526e4a31d64c46ea4f712bfb7242f42deec
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