Text Classification
Transformers
Safetensors
Russian
bert
sentiment-analysis
multi-label-classification
sentiment analysis
rubert
sentiment
tiny
russian
multilabel
classification
prompt-classification
text-embeddings-inference
Instructions to use r1char9/rubert-tiny2-clf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use r1char9/rubert-tiny2-clf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="r1char9/rubert-tiny2-clf")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("r1char9/rubert-tiny2-clf") model = AutoModelForSequenceClassification.from_pretrained("r1char9/rubert-tiny2-clf") - Notebooks
- Google Colab
- Kaggle
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