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:
- 1d88bdca781f7f0dcbbea2924ef0d1e7e3ddddf77c60202a5ef86c2048588594
- Size of remote file:
- 497 MB
- SHA256:
- 51c3e497b5ab8f7a7f8dffe787b40fd642b94c3da1c263549acbf5cae8ebc493
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