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 training_args.bin from MeowML/ToxicBERT: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/MeowML/ToxicBERT/resolve/main/training_args.bin
- Command line
-
hf download hf://MeowML/ToxicBERT/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/MeowML/ToxicBERT/resolve/main/training_args.bin
5.71 kB
- Xet hash:
- 3d4b961c06c57fae276090fc0baee49f33b922caa6a8c04073aefc2fab779d48
- Size of remote file:
- 5.71 kB
- SHA256:
- bad9e7789c84d372eb69fd51aefe63212143529e5d7d184fbdcb86b517f95c2b
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