Text Classification
Transformers
PyTorch
Safetensors
Portuguese
Trained with AutoTrain
Eval Results (legacy)
Instructions to use inctdd/told_br_binary_sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inctdd/told_br_binary_sm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="inctdd/told_br_binary_sm")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("inctdd/told_br_binary_sm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae9c5e4be38dede35f48868877f8b98d9c9d73918ef3706ff90c839284fed20f
- Size of remote file:
- 125 Bytes
- SHA256:
- b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3
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