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:
- 39fa28ba2f3d8517466e3481dde995c7f132347912f3a6cff53299996b21680b
- Size of remote file:
- 3.31 kB
- SHA256:
- e8682b19d874c52e6619eebe85981f7990252cb8e0387a68abdd8bd3e1c9f7ee
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