Text Classification
Transformers
Safetensors
Turkish
bert
toxicity-detection
turkish
nlp
content-moderation
Instructions to use MeowML/ToxicBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MeowML/ToxicBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MeowML/ToxicBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MeowML/ToxicBERT") model = AutoModelForSequenceClassification.from_pretrained("MeowML/ToxicBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from MeowML/ToxicBERT: direct link, hf CLI and curl.
- Browser
- Download file 885 MB
-
https://huggingface.co/MeowML/ToxicBERT/resolve/main/optimizer.pt
- Command line
-
hf download hf://MeowML/ToxicBERT/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/MeowML/ToxicBERT/resolve/main/optimizer.pt
885 MB
- Xet hash:
- 33ded23df4010da43bd785d0b771ee0c146632ac7a47e732e38abf7b4a8ecbbe
- Size of remote file:
- 885 MB
- SHA256:
- a4a4a9a87e94ab5c0ffa302b3cae954c4d965f7258b58e0da4ce2a68a1210d10
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