Token Classification
Transformers
PyTorch
TensorBoard
deberta
Generated from Trainer
Eval Results (legacy)
Instructions to use geckos/deberta-base-fine-tuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use geckos/deberta-base-fine-tuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="geckos/deberta-base-fine-tuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("geckos/deberta-base-fine-tuned-ner") model = AutoModelForTokenClassification.from_pretrained("geckos/deberta-base-fine-tuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d141cf68700e9c7a60116290b5c89a2590ab844a41c994e0cc7b91e2c828a6af
- Size of remote file:
- 555 MB
- SHA256:
- 348f665c3b82fc31c48333cdd3901dcd2e56c67062daed40b8f3ed6065b32e94
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