Instructions to use timoneda/covid_roberta_15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use timoneda/covid_roberta_15 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="timoneda/covid_roberta_15")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("timoneda/covid_roberta_15") model = AutoModelForMaskedLM.from_pretrained("timoneda/covid_roberta_15", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c050a2a9a6436e371a3f1c48a2ad01b4ad289e2cba06abf89e442f40ab7ba736
- Size of remote file:
- 1.42 GB
- SHA256:
- 42b79d5ad2e7cb09b7bbf2577534e97c81689a3ae7a29251c18064b6cf40bda9
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