Instructions to use Fsoft-AIC/dopamin-python-usage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fsoft-AIC/dopamin-python-usage with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Fsoft-AIC/dopamin-python-usage")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Fsoft-AIC/dopamin-python-usage") model = AutoModelForSequenceClassification.from_pretrained("Fsoft-AIC/dopamin-python-usage") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e6f0b6d0a60247d47316eac827056e743912ed0f6d276948541d9b0ba889dcc
- Size of remote file:
- 4.54 kB
- SHA256:
- de69375d784d306a8ebdcb9f648f57d5791efa91e1f71dad0d0f38ba9c650b1c
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