Instructions to use oiisa/rubert-tiny-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oiisa/rubert-tiny-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="oiisa/rubert-tiny-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("oiisa/rubert-tiny-classifier") model = AutoModelForSequenceClassification.from_pretrained("oiisa/rubert-tiny-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 609b7de271f1b7603eed84cb9eff9eab6e05ba595bcacd9b7cc43edbacef140b
- Size of remote file:
- 117 MB
- SHA256:
- f470ffb6d46bdf0e4dac7d01f3b0a34cd9c4057feebc29d691f1001a0fa0aec5
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