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README.md
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- autotrain
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- text-classification
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language:
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widget:
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- text: "I love AutoTrain 🤗"
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datasets:
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- Problem type: Binary Classification
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- Model ID: 2489776826
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- CO2 Emissions (in grams): 1.7788
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## Validation Metrics
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## Usage
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You can use cURL to access this model:
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```
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- autotrain
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- text-classification
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language:
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- pt
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widget:
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- text: "I love AutoTrain 🤗"
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datasets:
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- Problem type: Binary Classification
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- Model ID: 2489776826
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- Base model: bert-base-portuguese-cased
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- Parameters: 109M
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- Model size: 416MB
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- CO2 Emissions (in grams): 1.7788
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## Validation Metrics
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## Usage
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This model was trained on a random subset of the [told_br](https://huggingface.co/datasets/told-br) dataset (1/3 of the original size). Our main objective is to provide a small
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model that can be used to classify Brazilian Portuguese tweets in a binary way ('toxic' or 'non toxic').
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You can use cURL to access this model:
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```
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