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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f97f25d1eeb227c6aa2208aefa8654c138ddc163fd6dbbd3fdb8cdbc6a0d0c2b
- Size of remote file:
- 534 MB
- SHA256:
- 5f2810ccabbf82cb443cf40717e39c834b1c7f71f9031b480120294dfd6fd8f2
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