Instructions to use GleghornLab/cdsBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GleghornLab/cdsBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="GleghornLab/cdsBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("GleghornLab/cdsBERT") model = AutoModelForMaskedLM.from_pretrained("GleghornLab/cdsBERT") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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{
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"_name_or_path": "
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"architectures": [
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"BertForMaskedLM"
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],
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{
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"_name_or_path": "cdsBERT",
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"architectures": [
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"BertForMaskedLM"
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],
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