Instructions to use chgk13/tiny_russian_toxic_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chgk13/tiny_russian_toxic_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chgk13/tiny_russian_toxic_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chgk13/tiny_russian_toxic_bert") model = AutoModelForSequenceClassification.from_pretrained("chgk13/tiny_russian_toxic_bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 536c3601980326e5aa8a426330871fde1a6e74be7c06b942da43aa176c016ce9
- Size of remote file:
- 47.2 MB
- SHA256:
- d658b57c712f5591a4127d4c7564ad1d95d7f46af96be2b44c2bc47e0eb4b482
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