Text Classification
Transformers
PyTorch
Romanian
bert
hate speech
offensive language
romanian
classification
nlp
Eval Results (legacy)
text-embeddings-inference
Instructions to use readerbench/ro-offense with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use readerbench/ro-offense with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="readerbench/ro-offense")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("readerbench/ro-offense") model = AutoModelForSequenceClassification.from_pretrained("readerbench/ro-offense") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files- pytorch_model.bin +1 -1
- training_args.bin +2 -2
pytorch_model.bin
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