Instructions to use kleinay/nominalization-candidate-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kleinay/nominalization-candidate-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kleinay/nominalization-candidate-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kleinay/nominalization-candidate-classifier") model = AutoModelForTokenClassification.from_pretrained("kleinay/nominalization-candidate-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4337cf2a443d40ee6d74adb171a8fadab214656ccf92bd69b0bc97a9a74c4eed
- Size of remote file:
- 1.02 kB
- SHA256:
- eeaf6ed2cc7f9a9a79a9f5aa92ccf0366c8636ec1ddf593079a87b3fbe95a01c
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