Text Classification
Transformers
Safetensors
Russian
xlm-roberta
russian
constructicon
nlp
linguistics
text-embeddings-inference
Instructions to use Futyn-Maker/ruscxn-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Futyn-Maker/ruscxn-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Futyn-Maker/ruscxn-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Futyn-Maker/ruscxn-classifier") model = AutoModelForSequenceClassification.from_pretrained("Futyn-Maker/ruscxn-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e41109b0f23ad212f933ed97e5e9da1287968e89ee5be23be27214e5643cc214
- Size of remote file:
- 17.1 MB
- SHA256:
- 50344db468f64b2414c661321cf7705dfa53054b07f98a218146d854a7790a75
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