Instructions to use Fsoft-AIC/dopamin-python-expand with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fsoft-AIC/dopamin-python-expand with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Fsoft-AIC/dopamin-python-expand")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Fsoft-AIC/dopamin-python-expand") model = AutoModelForSequenceClassification.from_pretrained("Fsoft-AIC/dopamin-python-expand") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4a6dc7f1535cb6a07c9e32c1e59728c4b37afe81018bf19f67362e080c06d27
- Size of remote file:
- 612 MB
- SHA256:
- 2730f191d03c266270ac1fdf8a4f00fd08f0436b491abf4770f6affe3904c387
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