Instructions to use linzw/PASTED-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use linzw/PASTED-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="linzw/PASTED-Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("linzw/PASTED-Classification") model = AutoModelForTokenClassification.from_pretrained("linzw/PASTED-Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b87f62fb145a0ca0ff5640185d7f9b4dd68dd07ce31189d734a1f17f4424489d
- Size of remote file:
- 592 MB
- SHA256:
- 388c30852515dec4321a90f994651a7b4170fbb47aac5ac7db6cb645d52ad899
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