Text Classification
Transformers
Safetensors
Russian
xlm-roberta
russian-nlp
grnti
multiclass
Eval Results (legacy)
text-embeddings-inference
Instructions to use kiselyovd/grnti-text-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kiselyovd/grnti-text-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kiselyovd/grnti-text-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kiselyovd/grnti-text-classifier") model = AutoModelForSequenceClassification.from_pretrained("kiselyovd/grnti-text-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
11 days ago
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Publish reviewed artifact evidence from 379602cd90d5
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docs: bind native GRNTI replay and live demo
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13 days ago
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docs: clarify classification operating choices and evidence
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docs: add hero banner
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add hero banner
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Rewrite model card: percentage metrics table + visualizations section
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Add per_class_f1.png visualization
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Add confusion_matrix.png visualization
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docs: replace widget sample with Russian physics abstract
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fix: real GRNTI id2label for inference widget
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publish baseline ruBERT checkpoint
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publish main XLM-R checkpoint + card
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initial commit
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