Offensive Hebrew
Collection
17 items • Updated • 1
Text Classification
Transformers
PyTorch
Hebrew
bert
feature-extraction
code
text-embeddings-inference
# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("SinaLab/Offensive-Hebrew")
model = AutoModel.from_pretrained("SinaLab/Offensive-Hebrew")Quick Links
Hebrew Corpus
This corpus contains offensive language in Hebrew manually annotated. The data includes 15,881 tweets, labeled with one or more of five classes (abusive, hate, violence, pornographic, or non-offensive). The corpus is annonated manually by Arabic-Hebrew bilingual speakers.
https://arxiv.org/abs/2309.02724
Models
AlephBERT (https://huggingface.co/imvladikon/sentence-transformers-alephbert)
Github Repository
git clone https://github.com/SinaLab/OffensiveHebrew
You can download the data from the following GitGub link:
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SinaLab/Offensive-Hebrew")