Token Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
Instructions to use Park-Hip-02/token-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Park-Hip-02/token-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Park-Hip-02/token-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Park-Hip-02/token-classification") model = AutoModelForTokenClassification.from_pretrained("Park-Hip-02/token-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49d3a6885e216133457448d74ac9c347dc987c2ea7a3d05b5590150950c18e80
- Size of remote file:
- 5.11 kB
- SHA256:
- 8b4c875cdf86f0573adee8f7b8e94c7004f3a5f78eacc4ea327fb7a65fc67f8d
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