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:
- 7ffcf9402741779a960fdd62c652f1924ba89fdb372757b7b8bf3c648bee2844
- Size of remote file:
- 506 MB
- SHA256:
- 2aaae58f28b98387496abc66924b32c53b100f082939c4a8e39aa0d8373efe96
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