Instructions to use amcoff/classify_skolmat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amcoff/classify_skolmat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="amcoff/classify_skolmat")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("amcoff/classify_skolmat") model = AutoModelForSequenceClassification.from_pretrained("amcoff/classify_skolmat") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8286e439e9fedea8cb720d0d9b001ca7d6dbf2ccd34cd36182d257d8fbece3a2
- Size of remote file:
- 499 MB
- SHA256:
- 4bb999097f0833b770323bc1f9dd1117c5678bd4a89bdbbe964a7c9d96568cbd
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