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:
- 734d349883b1ac517d03ff18185d819fe072f92d3782f370827a6bd901f85c94
- Size of remote file:
- 234 MB
- SHA256:
- 348ab69eb64fdbf68e721058943b290ca850b81159094eaff697642fd6240759
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