Instructions to use sofia-todeschini/BioElectra-LitCovid-1.4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sofia-todeschini/BioElectra-LitCovid-1.4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sofia-todeschini/BioElectra-LitCovid-1.4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sofia-todeschini/BioElectra-LitCovid-1.4") model = AutoModelForSequenceClassification.from_pretrained("sofia-todeschini/BioElectra-LitCovid-1.4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d3d88c66a167ab259f202a8a1f6ad6d067448de52e7d9e82c5d2306f7a50b60
- Size of remote file:
- 3.64 kB
- SHA256:
- b2bb5185cbccfbd9f886b6410e97b0c7fed579177fe403e06489817224fcdce9
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