Instructions to use Jackett/subject_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jackett/subject_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jackett/subject_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jackett/subject_classifier") model = AutoModelForSequenceClassification.from_pretrained("Jackett/subject_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7169d3e3487fdb3fa87adcbe5a85a48806a38393b9e3c78b198842c6aa23002
- Size of remote file:
- 997 MB
- SHA256:
- 70218b4ad06db835070685a92d4f3cc69917651c638fc0967f5dc43b3d32c8fe
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