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:
- 2093eede41f5a484527bbd3b9898cd7c812cbe94eda28e0d93d9d74ee0968249
- Size of remote file:
- 1.42 GB
- SHA256:
- 0c232d78647f083dd4bc14e4f84cdf1a1c9fdd3186123afa6620b52c847d5427
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