Instructions to use gsarti/covidbert-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsarti/covidbert-nli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="gsarti/covidbert-nli")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("gsarti/covidbert-nli") model = AutoModel.from_pretrained("gsarti/covidbert-nli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c41ff30d82eb3b1d8dcd1bfc459985da137d8ed63adfdfdbea9c2ee7f2e0e4e1
- Size of remote file:
- 438 MB
- SHA256:
- 56f80107d56201037731acbbf19210fd2bea7896801a8ccb860e60d808001dde
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