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:
- dbf275a5802ae829cbec0d63138cbd5d07027301bba5ff25f7fa64ac84c4a016
- Size of remote file:
- 3.7 kB
- SHA256:
- eb3b71907c1e39b22ef1ab915290602a79a529af398581187aa888ba7af47b38
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