Instructions to use jaimin/covid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaimin/covid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jaimin/covid")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jaimin/covid") model = AutoModelForSequenceClassification.from_pretrained("jaimin/covid", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jaimin/covid: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/jaimin/covid/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jaimin/covid/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jaimin/covid/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 95f57c9ca90a8c0fd37fc8944faded1f11bca8625e6a9361aaec9c3c0494d40d
- Size of remote file:
- 268 MB
- SHA256:
- db81ae41ca25d0f229217a914ad3296a9f52fc249c80dc1e5fd00fa642b9c9b3
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