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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model (#1)
Browse files- Librarian Bot: Add base_model information to model (0333c136f50e7ea00176db55c1b242001932ba40)
Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>
README.md
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- f1
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- precision
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- recall
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model-index:
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- name: dougtrajano/toxicity-target-type-identification
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results: []
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- f1
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- precision
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- recall
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base_model: neuralmind/bert-large-portuguese-cased
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model-index:
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- name: dougtrajano/toxicity-target-type-identification
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results: []
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