Text Classification
Transformers
PyTorch
Safetensors
English
roberta
hate-speech
text-embeddings-inference
Instructions to use classla/roberta-base-frenk-hate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use classla/roberta-base-frenk-hate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="classla/roberta-base-frenk-hate")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("classla/roberta-base-frenk-hate") model = AutoModelForSequenceClassification.from_pretrained("classla/roberta-base-frenk-hate") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51beac0fd6d478348016078f5a536f37c780dfebdc3d73ccaf0143e6191e4390
- Size of remote file:
- 501 MB
- SHA256:
- ce1777f57fcd02147bbc1c1cf75fc9c67b3ba4c574d2452cc3b23da963c26765
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