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:
- a4e6507458d28ccd70a1df453507f7071ad6b90d6b322d3330b40dd94c424bbf
- Size of remote file:
- 657 MB
- SHA256:
- c7bbd4d7debf4833b177ba409e81e42560140c734bd80cfc8ce4ae5b371094ce
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