Instructions to use ydshieh/tiny-random-YosoForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ydshieh/tiny-random-YosoForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ydshieh/tiny-random-YosoForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ydshieh/tiny-random-YosoForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("ydshieh/tiny-random-YosoForTokenClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 506c7221659a1c66712026f483d277ffc62027d9a295517a966b3aef20c5cd1b
- Size of remote file:
- 366 kB
- SHA256:
- 82e1a3bb9e3dd5cfa1cb0571cf31179c1f4bf1fc7b00423dad93bc780dec8830
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