Instructions to use timoneda/covid_roberta_25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use timoneda/covid_roberta_25 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="timoneda/covid_roberta_25")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("timoneda/covid_roberta_25") model = AutoModelForMaskedLM.from_pretrained("timoneda/covid_roberta_25", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ada038c7924b0cecf19d61562fb8a61c19de66df8d16fd96b50176b58587060
- Size of remote file:
- 3.31 kB
- SHA256:
- 8aafe616a597a21680ede2c33702a17615359f1c81b6059ccc4850fc9916474b
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