Instructions to use ShacklesLay/Deberta4task2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShacklesLay/Deberta4task2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ShacklesLay/Deberta4task2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ShacklesLay/Deberta4task2") model = AutoModelForTokenClassification.from_pretrained("ShacklesLay/Deberta4task2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87e40db262a0eac18ca53c2b9adb46a40e7baa8e32f3d541e4b8225e94fa6929
- Size of remote file:
- 1.52 GB
- SHA256:
- 26dc0b78401eeced09e8ca97f323f1c7fe9504b0c2016a83134235ac54967618
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