Text Classification
Transformers
Safetensors
Russian
emotion-recognition
russian
multi-label-classification
quantized
compressed-tensors
int8
fp8
int4
Eval Results (legacy)
Instructions to use Aniemore/rubert-tiny2-russian-emotion-detection-quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aniemore/rubert-tiny2-russian-emotion-detection-quantized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Aniemore/rubert-tiny2-russian-emotion-detection-quantized")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Aniemore/rubert-tiny2-russian-emotion-detection-quantized", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K