Instructions to use abehandlerorg/bert_x_affects_y_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abehandlerorg/bert_x_affects_y_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abehandlerorg/bert_x_affects_y_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("abehandlerorg/bert_x_affects_y_classifier") model = AutoModelForSequenceClassification.from_pretrained("abehandlerorg/bert_x_affects_y_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee6bbc36e65949f2def7b7251b40e61aa226909c60fe4aca3bbb5aa567d24aab
- Size of remote file:
- 268 MB
- SHA256:
- 4c46dcc8be4778fc751495d75187cdb6a6e55d9d70047712ef97bf7cc2d74408
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