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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16d9d540d71249d1e70948411fa53f82e0653d3d3bd7169d212ec77afeeed1ee
- Size of remote file:
- 1.34 GB
- SHA256:
- 45592d7a0658665761f426eada85c30d56ec10d413005c3cec81e85c00eb944b
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