Instructions to use Fsoft-AIC/dopamin-java-ownership with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fsoft-AIC/dopamin-java-ownership with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Fsoft-AIC/dopamin-java-ownership")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Fsoft-AIC/dopamin-java-ownership") model = AutoModelForSequenceClassification.from_pretrained("Fsoft-AIC/dopamin-java-ownership") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ee6ab6b5e3af4262817a77344a2ee1a336fbb71c54a3145b2a374d7606945b9
- Size of remote file:
- 4.54 kB
- SHA256:
- ffe99d31cc7ccada3ada447c989386cf51561a662b6c4ae311fbd8b9b3d3267e
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