Instructions to use IlyaGusev/rubertconv_toxic_clf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IlyaGusev/rubertconv_toxic_clf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IlyaGusev/rubertconv_toxic_clf")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IlyaGusev/rubertconv_toxic_clf") model = AutoModelForSequenceClassification.from_pretrained("IlyaGusev/rubertconv_toxic_clf") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 405565ee0877dec90a4ecd308882120150cda468900bf9322f454caca03a8dcc
- Size of remote file:
- 712 MB
- SHA256:
- fb8c8d39e5480d42f9b1f92f5a445265799a179f746842ce7dc4ef3b1b749348
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