Instructions to use apanc/russian-inappropriate-messages with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apanc/russian-inappropriate-messages with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="apanc/russian-inappropriate-messages")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("apanc/russian-inappropriate-messages") model = AutoModelForSequenceClassification.from_pretrained("apanc/russian-inappropriate-messages") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40c4b76f545fa51ca22eafca583d56d66a5263cdaa1234f7de61928b1487e596
- Size of remote file:
- 711 MB
- SHA256:
- b1652bf10682cd1a554a715d7514f0bdfabb6792ec95205fe31c14012d81ba87
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