Text Classification
Transformers
PyTorch
TensorFlow
JAX
Russian
bert
toxic comments classification
Not-For-All-Audiences
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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77827313b08a9c6af9f186e94e0046143b0ceebf73ab75c0eef04871e63622cb
- Size of remote file:
- 712 MB
- SHA256:
- 776b029f4ba4de5096afee7644ee54888b069f12304713cfa1d9032b48ce6c65
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