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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 7f0d4af
Update README.md
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README.md
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widget:
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- text: "I love AutoTrain 🤗"
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datasets:
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- alexandreteles/
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co2_eq_emissions:
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emissions: 4.429755329718354
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model-index:
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type: binary-classification
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name: Binary Classification
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dataset:
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type:
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name: told-br
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metrics:
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- type: accuracy
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value: 0.800
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widget:
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- text: "I love AutoTrain 🤗"
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datasets:
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- alexandreteles/told_br_binary_sm
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co2_eq_emissions:
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emissions: 4.429755329718354
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model-index:
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type: binary-classification
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name: Binary Classification
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dataset:
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type: alexandreteles/told_br_binary_sm
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name: told-br-small
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metrics:
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- type: accuracy
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value: 0.800
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