Instructions to use NeuML/bert-small-cord19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NeuML/bert-small-cord19 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NeuML/bert-small-cord19")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NeuML/bert-small-cord19") model = AutoModelForMaskedLM.from_pretrained("NeuML/bert-small-cord19") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9fdad54ebe8ee51298cb143e6cb9e5bea4ff68fb2a75c03f6768ae24053318f2
- Size of remote file:
- 953 Bytes
- SHA256:
- 986050113320e2abce4516e178b54345dfcf9d88723e757c111a064d41636b9d
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