Text Classification
Transformers
PyTorch
Safetensors
Portuguese
Trained with AutoTrain
Eval Results (legacy)
Instructions to use inctdd/told_br_binary_sm_bertimbau with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inctdd/told_br_binary_sm_bertimbau with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="inctdd/told_br_binary_sm_bertimbau")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("inctdd/told_br_binary_sm_bertimbau", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e01796be3dc98f395a3724827f355867c9a69c39a0c3c2fae5c6d7fe8a6236c
- Size of remote file:
- 436 MB
- SHA256:
- c06e74d91c85f4437905c1ccb39a5f3449c30a28ed184dbbd3d78e53a27956cd
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