Text Classification
Transformers
Safetensors
Russian
deberta
toxicity-classification
russian
telegram
moderation
Eval Results (legacy)
Instructions to use Egor-3926/ToxicLord with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Egor-3926/ToxicLord with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Egor-3926/ToxicLord")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Egor-3926/ToxicLord") model = AutoModelForSequenceClassification.from_pretrained("Egor-3926/ToxicLord", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Improve Russian examples
Verified signature2abc9ad -
Remove profanity and add examples
Verified signature8576421 -
Clarify base finetune model
Verified signatureca7785f -
Add ToxicLord image
Verified signaturefb0965c -
Update Russian model card
Verified signaturec4d71f8 -
Upload ToxicLord v1 model
Verified signatured7d2d80 -
initial commit
Verified signature8107fc8