Instructions to use biu-nlp/nominalization-candidate-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use biu-nlp/nominalization-candidate-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="biu-nlp/nominalization-candidate-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("biu-nlp/nominalization-candidate-classifier") model = AutoModelForTokenClassification.from_pretrained("biu-nlp/nominalization-candidate-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd6901bf8353e00d01029c702019d2a9d0e85ecc8e0c4f53958d96030b067102
- Size of remote file:
- 431 MB
- SHA256:
- adee9c405454f9f246160c5273941c26002afa98729eae51f6f196520d621075
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