Instructions to use karths/binary_classification_train_reli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_reli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_reli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_reli") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_reli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a93bdde42c7e2bd3f88a53dbbba54265c784bc49c26cb869b543a772568a9166
- Size of remote file:
- 331 MB
- SHA256:
- 67a1027fc63ebf2c51c803b1cfb03fa90265f4cc1af2d6200a904fcea9d6b613
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