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:
- 154f00fd8de7e704fe3251d4255693f112c39d054ef2aea3d4d9039bf87b3bd8
- Size of remote file:
- 3.18 kB
- SHA256:
- 45a411b5f1c1ae088b72b57e6f99ee7c3a46cab0eb827da7931e19476b56cb9d
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