Instructions to use diseases-risk-factors/binary-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diseases-risk-factors/binary-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="diseases-risk-factors/binary-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("diseases-risk-factors/binary-classification") model = AutoModelForSequenceClassification.from_pretrained("diseases-risk-factors/binary-classification") - Notebooks
- Google Colab
- Kaggle
Delete training_args.bin
Browse files- training_args.bin +0 -3
training_args.bin
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