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dragonscale-ai
/
kniv-deberta-nlp-base-en-small

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)
Model card Files Files and versions
xet
Community

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
kniv-deberta-nlp-base-en-small
1.46 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
milliondreams's picture
milliondreams
Add canonical label_maps.json for cross-language clients
cda697c verified 3 months ago
  • onnx
    Initial v2 release: distilled student with full benchmarks 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    9.65 kB
    Initial v2 release: distilled student with full benchmarks 3 months ago
  • label_maps.json
    2.19 kB
    Add canonical label_maps.json for cross-language clients 3 months ago
  • metadata.json
    1.68 kB
    Initial v2 release: distilled student with full benchmarks 3 months ago
  • model.pt
    628 MB
    xet
    Initial v2 release: distilled student with full benchmarks 3 months ago
  • tokenizer.json
    8.34 MB
    Initial v2 release: distilled student with full benchmarks 3 months ago
  • tokenizer_config.json
    538 Bytes
    Initial v2 release: distilled student with full benchmarks 3 months ago