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:
- 28f3775f7b1c83f646eec97cd579ac1917abdd29d105d554e2b4cda39b7e534d
- Size of remote file:
- 534 MB
- SHA256:
- c3660ce557e78df7b3cf1d3e9072b028a2aa9591b2a07ead24da189f0236c770
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