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:
- 212cbd75a128009d8fd87ec6515c4865feadde4868ffd4d86869bcd2e3857f3b
- Size of remote file:
- 840 MB
- SHA256:
- 992e98298217ad531b101a176a91909713d1be761ad1db9f39ff3c1137a51dbd
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