Instructions to use timoneda/covid_trained_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use timoneda/covid_trained_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="timoneda/covid_trained_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("timoneda/covid_trained_bert") model = AutoModelForMaskedLM.from_pretrained("timoneda/covid_trained_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01894e98e2cb113c8370c3a4b0d67b0195f455e5c5237376fdf72eaf116e8b27
- Size of remote file:
- 3.31 kB
- SHA256:
- 39bcefe4d7d12e3990e6dc622ee2529f0ba1711cac4eac05382877d40b77bf6d
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