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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:42105730210311b56c6b1db4bc16e526e4a31d64c46ea4f712bfb7242f42deec
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size 839998304
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