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:
- 4f4f8b1d52c92a918670135421f0c4b79e937cfca48c9b294a86186a61ff2153
- Size of remote file:
- 3.7 kB
- SHA256:
- 80715c069b8d9da3c0faa5ea124e133952b534e9fb42fb0b2f263286fbeb0100
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