Instructions to use timoneda/covid_roberta_40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use timoneda/covid_roberta_40 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="timoneda/covid_roberta_40")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("timoneda/covid_roberta_40") model = AutoModelForMaskedLM.from_pretrained("timoneda/covid_roberta_40", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3dc01f0582098dffb81f1ede47817be1e4bc9686e5b9a61a4af6f3474c6ff386
- Size of remote file:
- 3.31 kB
- SHA256:
- 289fe01df4385ed9bfca3ad780eb70fca52f37a72a5e39b2ed6ffefcb0e11a7a
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