Instructions to use deepset/covid_bert_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/covid_bert_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="deepset/covid_bert_base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("deepset/covid_bert_base") model = AutoModelForMaskedLM.from_pretrained("deepset/covid_bert_base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bbe53e598c8d91817dda66743e1154f9b8e87dd1a41f16b94b66f000d3827708
- Size of remote file:
- 438 MB
- SHA256:
- 53b47abdb0e2437703c9981e05d236eec5f755fb944365d03a44f60b9d6c49b8
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