Instructions to use timoneda/covid_roberta_60 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use timoneda/covid_roberta_60 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="timoneda/covid_roberta_60")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("timoneda/covid_roberta_60") model = AutoModelForMaskedLM.from_pretrained("timoneda/covid_roberta_60", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e11ea186bd02c8e407927b98409b7328be764c5200f89873cfcf373faeac9ac
- Size of remote file:
- 1.42 GB
- SHA256:
- a752fd9829933b10e00b16f7b0c39c87f74770d5b9b1a9c84f757d9e9bd99377
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