Instructions to use ArtCad98/eubert_covid_ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArtCad98/eubert_covid_ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ArtCad98/eubert_covid_ft")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ArtCad98/eubert_covid_ft") model = AutoModelForMaskedLM.from_pretrained("ArtCad98/eubert_covid_ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82c07b6039cd1bc34773fed073f4381fbe4c8ef3945696b052ad5a50d1005115
- Size of remote file:
- 376 MB
- SHA256:
- 9c5329de4cb93f5f2946d6c0c673977de817069115da7b190dd72ba1cf7a3886
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