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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
ab08b22 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8d221511dfc16f612128d50e11a2ce841811f3a3a14f16ab5a2b539654658713
size 735404397
|