Text Classification
Transformers
PyTorch
Safetensors
Portuguese
bert
toxicity
portuguese
hate speech
offensive language
Generated from Trainer
text-embeddings-inference
Instructions to use dougtrajano/toxic-comment-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dougtrajano/toxic-comment-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dougtrajano/toxic-comment-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dougtrajano/toxic-comment-classification") model = AutoModelForSequenceClassification.from_pretrained("dougtrajano/toxic-comment-classification") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c18f033a42785d3eb0046c89b76cacc84bb9e923679ec059c823e5b2999ba97d
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size 1337645056
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