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
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot