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
- Xet hash:
- f68885bcbf2b0c7a09120cf219e82e6204622574dee85e3fe68f3cd6e297430a
- Size of remote file:
- 4.73 kB
- SHA256:
- 332f32c145403a18d86eec3dd8808a4826ca48425efb9b63c5d303528d05c956
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