Token Classification
Transformers
PyTorch
English
deberta-v2
NER
token classification
information extraction
question answering
Instructions to use knowledgator/UTC-DeBERTa-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use knowledgator/UTC-DeBERTa-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="knowledgator/UTC-DeBERTa-small")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("knowledgator/UTC-DeBERTa-small") model = AutoModelForTokenClassification.from_pretrained("knowledgator/UTC-DeBERTa-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0bf87eefe0232cd1345725ee9b89b09062cf7ffa83d45abd649aa0b3eef7782c
- Size of remote file:
- 565 MB
- SHA256:
- 14e783f4dd4b5e73ffa8bf419f2f3acdbdc55fbeafb631547edf051d9e79c671
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