Instructions to use CLTL/icf-levels-mbw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLTL/icf-levels-mbw with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CLTL/icf-levels-mbw")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CLTL/icf-levels-mbw") model = AutoModelForSequenceClassification.from_pretrained("CLTL/icf-levels-mbw") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0900085fe8734f79c54b67ff0285866315c8fbac7f57f648f796885b1d1acbb
- Size of remote file:
- 3.25 kB
- SHA256:
- 84f96b0c73102026cd148bb2d9c06e7d45bd5e63a1b9a4ffdaaf241d5416a9c1
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