Instructions to use OIOAZ/theme with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OIOAZ/theme with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OIOAZ/theme")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OIOAZ/theme") model = AutoModelForSequenceClassification.from_pretrained("OIOAZ/theme") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 90f3ae77d89df6647547d4a2056eef33f198cd39dc4e11c221fb9f59592d765d
- Size of remote file:
- 268 MB
- SHA256:
- c86149f3a6eabae8f1e5b3ee85aaa9a138e61e61d3872d4de99f0c6caa29634e
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