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:
- 98e634383acb92cee5185dd0008f0df83c6af00ad0466e00cce8a3128886b087
- Size of remote file:
- 3.31 kB
- SHA256:
- ae530f5380b51c1b068a10caa5960843d74cdaf4d8a9bb39d52dbf24d951ded3
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