Text Classification
Transformers
PyTorch
Safetensors
Portuguese
bert
toxicity
portuguese
hate speech
offensive language
Generated from Trainer
text-embeddings-inference
Instructions to use dougtrajano/toxicity-target-type-identification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dougtrajano/toxicity-target-type-identification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dougtrajano/toxicity-target-type-identification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dougtrajano/toxicity-target-type-identification") model = AutoModelForSequenceClassification.from_pretrained("dougtrajano/toxicity-target-type-identification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc1ce2b35a7fa31d336b44e1b3052bad80030db30799777d4103d76c11417ee9
- Size of remote file:
- 1.34 GB
- SHA256:
- 00d6d270e0be9438d10946bd174ffb0092a7e98228bee8a10caef76a29751629
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