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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IlyaGusev/rubertconv_toxic_clf") model = AutoModelForSequenceClassification.from_pretrained("IlyaGusev/rubertconv_toxic_clf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from IlyaGusev/rubertconv_toxic_clf: direct link, hf CLI and curl.
- Browser
- Download file 2.2 MB
-
https://huggingface.co/IlyaGusev/rubertconv_toxic_clf/resolve/main/tokenizer.json
- Command line
-
hf download hf://IlyaGusev/rubertconv_toxic_clf/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/IlyaGusev/rubertconv_toxic_clf/resolve/main/tokenizer.json
2.2 MB
- Xet hash:
- 7514433fa7f41313bb0cf4ed6a9fc3edbfecd3d47d3b3c1cb5f4ba7a221f145b
- Size of remote file:
- 2.2 MB
- SHA256:
- 1415a72cacf014ff31b9f840e1748033026018f57321fbb4bea861ce43f367f6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.