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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("readerbench/ro-offense") model = AutoModelForSequenceClassification.from_pretrained("readerbench/ro-offense", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from readerbench/ro-offense: direct link, hf CLI and curl.
- Browser
- Download file 841 kB
-
https://huggingface.co/readerbench/ro-offense/resolve/main/tokenizer.json
- Command line
-
hf download hf://readerbench/ro-offense/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/readerbench/ro-offense/resolve/main/tokenizer.json
841 kB
File too large to display, you can check the raw version instead.