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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffed79343e631e5f851ada020be0941ae80b50c0f05022b52ae8ebd38387f87b
- Size of remote file:
- 3.12 kB
- SHA256:
- 7dfbe4733886120390b4cf1d87de59054a4c0699d74313392f7be86ad0920837
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