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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a51608d633872c9e539f2117ed144771e9d173467724525258eb3bc3256ccb5c
- Size of remote file:
- 14.5 kB
- SHA256:
- 95e9cd1422956882238c05213a29a6a0d20a298036287259f1a6bc8f3445f824
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