Instructions to use abehandlerorg/xynli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abehandlerorg/xynli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abehandlerorg/xynli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("abehandlerorg/xynli") model = AutoModelForSequenceClassification.from_pretrained("abehandlerorg/xynli") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e433528efcabe07a2c71cd4c4e552146a0e0b33ed125c407c069cd8f74eebe2
- Size of remote file:
- 438 MB
- SHA256:
- c0671df2d1cfe34bea35fdba04a92fbf2221abfe936ad52a703e61ce06094f38
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