Instructions to use nizamovtimur/rubert-tiny-reports-zhkh-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nizamovtimur/rubert-tiny-reports-zhkh-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nizamovtimur/rubert-tiny-reports-zhkh-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nizamovtimur/rubert-tiny-reports-zhkh-classification") model = AutoModelForSequenceClassification.from_pretrained("nizamovtimur/rubert-tiny-reports-zhkh-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 364b0dbdddc27affd9f9a8991dff833bcea10c6c939e8d840fd937f6936dfd41
- Size of remote file:
- 117 MB
- SHA256:
- 68b9151c5e243fcecd3f4dea835154f23eff8239f6c49a7503cdabfb9e4a3802
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