Instructions to use danasone/rubert-tiny-grammar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danasone/rubert-tiny-grammar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="danasone/rubert-tiny-grammar")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("danasone/rubert-tiny-grammar") model = AutoModelForTokenClassification.from_pretrained("danasone/rubert-tiny-grammar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1438f17fa56f240273da1ea6495f68739c85b2f14be47e536a8b0da008ae5b9
- Size of remote file:
- 6.96 GB
- SHA256:
- 7ca24fd23915e471d245fbc65dc4b3fa5b43fc1b1f94c58913c3826c80e9f5f0
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