Instructions to use Fsoft-AIC/dopamin-java-rational with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fsoft-AIC/dopamin-java-rational with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Fsoft-AIC/dopamin-java-rational")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Fsoft-AIC/dopamin-java-rational") model = AutoModelForSequenceClassification.from_pretrained("Fsoft-AIC/dopamin-java-rational") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65537b493595d17730a3e298ee743b3a869d0df06f8f53d3b2cea523503ee641
- Size of remote file:
- 4.54 kB
- SHA256:
- a74bac16dd1d375d0ffa9ccd3eb547b3a0b968b2f8e4a6a138b5846305fb1de8
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