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:
- c9e31fd2cd0a7a709e35e248ce42648bf2bf9da35fac8996a4f6c04ecce0e3f1
- Size of remote file:
- 1.42 GB
- SHA256:
- 73d8a1baf462a18ddc88acff4cd720bb6d80982a9f34deed3e74b10342cbd6b0
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