Instructions to use Fsoft-AIC/dopamin-java-usage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fsoft-AIC/dopamin-java-usage with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Fsoft-AIC/dopamin-java-usage")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Fsoft-AIC/dopamin-java-usage") model = AutoModelForSequenceClassification.from_pretrained("Fsoft-AIC/dopamin-java-usage", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8f55e9ac9713c2e588c3d9a6f8845b658dd7fdfeb114224cdaa10a64b47db60
- Size of remote file:
- 14.5 kB
- SHA256:
- 72049de5a71bfa22abfda2cbc4f62fee3d698b0d152f9b7c9685046ec5fa8be6
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