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:
- bd33e624af96d99aefb4d6249cd6f77a884c8c747ca23ff80ad92b5128faac21
- Size of remote file:
- 499 MB
- SHA256:
- 41e60f886463b12792d57d952f5e5b8b566386c4e70d374d2c6b7dd14bb42609
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