Text Classification
Transformers
Safetensors
Russian
modernbert
nli
russian
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Feudor2/rumodernbert-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Feudor2/rumodernbert-nli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Feudor2/rumodernbert-nli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Feudor2/rumodernbert-nli") model = AutoModelForSequenceClassification.from_pretrained("Feudor2/rumodernbert-nli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e835c99d3810a5171c9969029ac676975fccd986ab37f59e2c33187f599b69f0
- Size of remote file:
- 5.33 kB
- SHA256:
- 6ba3a21ca9f05b1248b69f189dc53f1bdfec346c8f7cff83a256e0bbb93c1e48
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