Instructions to use apanc/russian-sensitive-topics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apanc/russian-sensitive-topics with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="apanc/russian-sensitive-topics")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("apanc/russian-sensitive-topics") model = AutoModelForSequenceClassification.from_pretrained("apanc/russian-sensitive-topics") - Notebooks
- Google Colab
- Kaggle
🚩 Report : Ethical issue(s)
#2
by AlekseiShkurin - opened
This dataset has been linked to the Russian Roskomnadzor federal executive body responsible for control, censorship, and supervision in the field of media, which is directly responsible for the spread of misinformation and suppression of the freedom of speech.
More details on the journalist investigations mentioning these models could be found here - https://twitter.com/snowy_robolamp/status/1626572658077835264?s=20