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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1afe5cbacd5311157fc0a24a2913539e22c2ac68ec0c7f76d5176ce278da20da
- Size of remote file:
- 4.54 kB
- SHA256:
- de300b6adb36a22fd28ece871b881a4cdb3bbee7d074696960749e28acd9b2a6
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