Instructions to use timoneda/covid_roberta_80 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use timoneda/covid_roberta_80 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="timoneda/covid_roberta_80")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("timoneda/covid_roberta_80") model = AutoModelForMaskedLM.from_pretrained("timoneda/covid_roberta_80", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d400ff3e5bdc96fdc95531d77ca759d1ffe950c6a5488dee6ec06df59cf3649
- Size of remote file:
- 3.31 kB
- SHA256:
- 19a95b40063a99cb521f0d2b80d71a7ebbda378829d9b2f6edbd8a24b12ba3c9
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