Token Classification
Transformers
ONNX
English
multi-task
pos
ner
dependency-parsing
semantic-role-labeling
dialog-act-classification
deberta-v3
cascade
nlp
rustic
knowledge-distillation
student-model
Eval Results (legacy)
Instructions to use dragonscale-ai/kniv-deberta-nlp-base-en-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dragonscale-ai/kniv-deberta-nlp-base-en-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dragonscale-ai/kniv-deberta-nlp-base-en-small")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dragonscale-ai/kniv-deberta-nlp-base-en-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K