Instructions to use Lauler/motions-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lauler/motions-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Lauler/motions-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Lauler/motions-classifier") model = AutoModelForSequenceClassification.from_pretrained("Lauler/motions-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64fc4a723a2ef07a32383ff8f4ace3cfa6b31ddc84d8fbe713f154c97f9873dd
- Size of remote file:
- 499 MB
- SHA256:
- 64460bc6a933726a4ae1fa4def94b67769a6f0a109f1a2537727b3f42a4e0643
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