Instructions to use jakelever/coronabert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jakelever/coronabert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jakelever/coronabert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jakelever/coronabert") model = AutoModelForSequenceClassification.from_pretrained("jakelever/coronabert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.preproc from jakelever/coronabert: direct link, hf CLI and curl.
- Browser
- Download file 3.39 kB
-
https://huggingface.co/jakelever/coronabert/resolve/aae5fbc57a3ebfcde344a07be9776bdabbba0615/tf_model.preproc
- Command line
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hf download hf://jakelever/coronabert@aae5fbc57a3ebfcde344a07be9776bdabbba0615/tf_model.preproc
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curl -L -o tf_model.preproc https://huggingface.co/jakelever/coronabert/resolve/aae5fbc57a3ebfcde344a07be9776bdabbba0615/tf_model.preproc
3.39 kB
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