Token Classification
Transformers
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
Instructions to use joddiy/my_awesome_wnut_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joddiy/my_awesome_wnut_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="joddiy/my_awesome_wnut_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("joddiy/my_awesome_wnut_model") model = AutoModelForTokenClassification.from_pretrained("joddiy/my_awesome_wnut_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d07db4c5c32407b67cc4f8f3f780ead9d1102310b79c52f2f17ed8225ee5678c
- Size of remote file:
- 4.6 kB
- SHA256:
- 18c0835bb0ec5142fbda83bcf089cb92bf5dd0d9da3c7129592d3178acc228a6
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