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RabidUmarell
/
toxic-mbert

Text Classification
Transformers
Safetensors
Hungarian
bert
text-embeddings-inference
Model card Files
xet
 Community
How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="RabidUmarell/toxic-mbert")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("RabidUmarell/toxic-mbert")
model = AutoModelForSequenceClassification.from_pretrained("RabidUmarell/toxic-mbert")
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This model is trained to classify toxic comments. Trained from the Hungarian Twitter Sentiment Corpus and a toxic comment dataset.

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Model size
0.2B params
Tensor type
F32
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