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")# 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

- Xet hash:
- 60aacc5e4439a3b248e3acf6bf007f71e45525d285af07d10766e018b4930635
- Size of remote file:
- 178 kB
- SHA256:
- cb89caa1ceeb139c738a4281113e16c571b8d1cf15aaff09e91ce853cb99fd45
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