Instructions to use PeytonT/metadata-category-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PeytonT/metadata-category-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PeytonT/metadata-category-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PeytonT/metadata-category-classifier") model = AutoModelForSequenceClassification.from_pretrained("PeytonT/metadata-category-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8bf1afd35201c51ca690984d24f95307480fb174099c4449cabe6080819d7c3
- Size of remote file:
- 5.78 kB
- SHA256:
- e2a1e6b83050fbd1254d078a78c71d8bbf9a3253d7f9ff71cda5a4a661beb192
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