Instructions to use auspect/trail_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use auspect/trail_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="auspect/trail_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("auspect/trail_classifier") model = AutoModelForSequenceClassification.from_pretrained("auspect/trail_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63761fdea960964ed8fbd0371adc0cb7b4499164ea93fdc9a85fd06df7189470
- Size of remote file:
- 5.2 kB
- SHA256:
- ff9d9528ff41ad717abe8626645c00e42b9b50bcf626edb2dafe1aa75435fd7c
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