Text Classification
Transformers
PyTorch
Safetensors
Croatian
bert
hate-speech
text-embeddings-inference
Instructions to use classla/bcms-bertic-frenk-hate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use classla/bcms-bertic-frenk-hate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="classla/bcms-bertic-frenk-hate")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("classla/bcms-bertic-frenk-hate") model = AutoModelForSequenceClassification.from_pretrained("classla/bcms-bertic-frenk-hate") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9657a0c40cd4fd22f1189b10b7f01ff037b9584eb10d4015c0b08ac94540771b
- Size of remote file:
- 497 MB
- SHA256:
- 8361bc2a72a3ffeb02366a0184d97297764cf07ded4d089674d7265e4335e4de
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