Instructions to use LocalDoc/azerbaijani_toxicity_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LocalDoc/azerbaijani_toxicity_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LocalDoc/azerbaijani_toxicity_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LocalDoc/azerbaijani_toxicity_classifier") model = AutoModelForSequenceClassification.from_pretrained("LocalDoc/azerbaijani_toxicity_classifier") - Notebooks
- Google Colab
- Kaggle
About labelling and annotation
it would be good if u noted where you got the data, which social network or other sources you took it from. Also, how did u do annotation part for labelling? it would be perfect if you noted information about that as well. In conclusion, thanks fot the dataset. It is really helpful to work on my paper. π
it would be good if u noted where you got the data, which social network or other sources you took it from. Also, how did u do annotation part for labelling? it would be perfect if you noted information about that as well. In conclusion, thanks fot the dataset. It is really helpful to work on my paper. π
Hi Ravan. The messages were collected from various open Telegram chats and labeled with gpt-4.1. I'm glad it was useful in your work)