Token Classification
Transformers
PyTorch
English
deberta-v2
NER
token classification
information extraction
question answering
Instructions to use knowledgator/UTC-DeBERTA-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use knowledgator/UTC-DeBERTA-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="knowledgator/UTC-DeBERTA-base")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("knowledgator/UTC-DeBERTA-base") model = AutoModelForTokenClassification.from_pretrained("knowledgator/UTC-DeBERTA-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec44e2f75c0336a3bc1ed4856b2002e6dd62ef536ee864a2dfa6712ace217faa
- Size of remote file:
- 735 MB
- SHA256:
- 8d221511dfc16f612128d50e11a2ce841811f3a3a14f16ab5a2b539654658713
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