Text Classification
Transformers
Safetensors
Russian
deberta
Text Classification
emotion-classification
emotion-recognition
emotion-detection
emotion
multilabel
Instructions to use fyaronskiy/deberta-v1-base-russian-go-emotions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fyaronskiy/deberta-v1-base-russian-go-emotions with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fyaronskiy/deberta-v1-base-russian-go-emotions")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fyaronskiy/deberta-v1-base-russian-go-emotions") model = AutoModelForSequenceClassification.from_pretrained("fyaronskiy/deberta-v1-base-russian-go-emotions", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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