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
File size: 134 Bytes
721f83c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:4bb999097f0833b770323bc1f9dd1117c5678bd4a89bdbbe964a7c9d96568cbd
size 498809968
|