Instructions to use karths/binary_classification_train_comp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_comp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_comp")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_comp") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_comp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4d318ee0ac095f4259a70fedf4af62021b47456e62d0b34e46c696c2d1a4819
- Size of remote file:
- 657 MB
- SHA256:
- 52788f424eefb5cb5b4b5e8c5e34d7fe1965f0084f3d39f164305cfd00fba1fa
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