Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use sibstrider/rubert-tiny2-finetuned-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sibstrider/rubert-tiny2-finetuned-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sibstrider/rubert-tiny2-finetuned-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sibstrider/rubert-tiny2-finetuned-classification") model = AutoModelForSequenceClassification.from_pretrained("sibstrider/rubert-tiny2-finetuned-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55ed5d989629645343bdc106ec32d08bac8b0b7573eaf61f66781ffec5d46cd6
- Size of remote file:
- 234 MB
- SHA256:
- 538baecab6814677a904adc0a1e8f6f4b090fb2a7454ae8eadbbd754fbebd1bb
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