Text Classification
Transformers
ONNX
Safetensors
Russian
roberta
Text Classification
emotion-classification
emotion-recognition
emotion-detection
emotion
text-embeddings-inference
Instructions to use fyaronskiy/ruRoberta-large-ru-go-emotions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fyaronskiy/ruRoberta-large-ru-go-emotions with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fyaronskiy/ruRoberta-large-ru-go-emotions")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fyaronskiy/ruRoberta-large-ru-go-emotions") model = AutoModelForSequenceClassification.from_pretrained("fyaronskiy/ruRoberta-large-ru-go-emotions") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4bf709fb0c5f50eb6e9691b9655514429d8ef6fd75695d7fe70c74507953e9ce
- Size of remote file:
- 1.42 GB
- SHA256:
- 075f32a59523a1107d2de8c84d25fa9f10e9f6dd7ea14068b7999523cf2e7554
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