Text Classification
Transformers
PyTorch
Safetensors
Azerbaijani
deberta-v2
toxicity
azerbaijani
multi-label-classification
text-embeddings-inference
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
- Xet hash:
- 0bc0dc2c612add6b1170f4e7fe30c1d0a8fa4aed97c8fd7635245f4522100283
- Size of remote file:
- 5.65 kB
- SHA256:
- 3c8b6a670db3830a070833faae050e3b671084cc89ae19ea545347f5a2ca421a
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