Instructions to use danzzzll/rubert-tiny_cls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danzzzll/rubert-tiny_cls with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="danzzzll/rubert-tiny_cls")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("danzzzll/rubert-tiny_cls") model = AutoModelForSequenceClassification.from_pretrained("danzzzll/rubert-tiny_cls") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c4dd0d5cf7ec357c5ad01966c170a55de495e6d91289701a35b789537d6f95c
- Size of remote file:
- 117 MB
- SHA256:
- cf2d3277b81912d1301ce18fb3d5fb473e686fc7c1236f52cad6c87efd26cc15
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