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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 323248300635f393e2e8a852052b6ead99e425d4bf29aa4ecb80601626ab11e1
- Size of remote file:
- 539 MB
- SHA256:
- e461492ea0142714ee7745aaf1a0487ba68b6fc2995a313424bf37ab289a83b2
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