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:
- f6eaf9bfcef71ab1ab0e6ab5253fdcba47c6569c2fe27b0cde597396be9c5e1e
- Size of remote file:
- 1.2 MB
- SHA256:
- af1d13a7ec7eff9a62d75f010c78b0a753f0839b7a76c07e4bc606dfbda5d448
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