Instructions to use karths/binary_classification_train_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_test") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0009304bc67884e688f22c55f6ab8f15bb9a88d6b7136f96505bbb6851870e63
- Size of remote file:
- 464 MB
- SHA256:
- eedb7ea66417123a783d5bc84bbdce856a74c78d47cc4be2231e373793a7e16d
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