Instructions to use hunarbatra/CoVBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hunarbatra/CoVBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hunarbatra/CoVBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hunarbatra/CoVBERT") model = AutoModelForMaskedLM.from_pretrained("hunarbatra/CoVBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5be65cd7d5605000a89afc1e02fe75b7324a0c4f59e64ececdc4f6b670b3625c
- Size of remote file:
- 180 MB
- SHA256:
- 4dab49092e3f020d2a6cd841c1ecfdce786951dc26dfae4837cffffb195d417c
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