Instructions to use hyperquest/atom-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hyperquest/atom-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hyperquest/atom-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hyperquest/atom-classifier") model = AutoModelForTokenClassification.from_pretrained("hyperquest/atom-classifier") - Notebooks
- Google Colab
- Kaggle
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README.md
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## Label Taxonomy
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Atoms are typed according to the [Semantic Hyperedge (SH) notation system](https://hyperquest.ai/hyperbase/manual/notation/. The 7 main types and their subtypes:
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### Concepts (C)
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## Label Taxonomy
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Atoms are typed according to the [Semantic Hyperedge (SH) notation system](https://hyperquest.ai/hyperbase/manual/notation/). The 7 main types and their subtypes:
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### Concepts (C)
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| Label | Description |
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