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:
- 2dedf445445a8be7ff87e4045672df2da8982f3882ebe8945ff6fc5ec68415ac
- Size of remote file:
- 627 Bytes
- SHA256:
- 5fa1956bc0e2bdd53306d718a9fc48f4355ca30a2ad3845026a06a2fec928a1b
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