Text Classification
Transformers
Safetensors
Russian
bert
emotion-detection
sentiment-analysis
lightweight
Instructions to use Kostya165/rubert_emotion_slicer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kostya165/rubert_emotion_slicer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Kostya165/rubert_emotion_slicer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Kostya165/rubert_emotion_slicer") model = AutoModelForSequenceClassification.from_pretrained("Kostya165/rubert_emotion_slicer") - Notebooks
- Google Colab
- Kaggle
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