Instructions to use sismetanin/rubert-rusentitweet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sismetanin/rubert-rusentitweet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sismetanin/rubert-rusentitweet")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sismetanin/rubert-rusentitweet") model = AutoModelForSequenceClassification.from_pretrained("sismetanin/rubert-rusentitweet") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
precision recall f1-score support
negative 0.681957 0.675758 0.678843 660
neutral 0.707845 0.735019 0.721176 1068
positive 0.596591 0.652174 0.623145 483
skip 0.583062 0.485095 0.529586 369
speech 0.827160 0.676768 0.744444 99
accuracy 0.668906 2679
macro avg 0.679323 0.644963 0.659439 2679
w avg 0.668631 0.668906 0.667543 2679
3 Runs: Avg macro Precision 0.6747772329026972 Avg macro Recall 0.6436866944877477 Avg macro F1 0.654867154097531 Avg weighted F1 0.6649503767906553
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