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:
- 7fc0cae49989110f01e81726b860de4ff89e397ce7cf3831fa0a158c4a46e467
- Size of remote file:
- 513 Bytes
- SHA256:
- 273759c62c8a7a0efce520c2a6904c1e23e5778796263cb9dfe4301afbdff6c8
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