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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a25d9691f2df93e5ba627c206b7261c81cc1c67bf3387215fe541f82760a005
- Size of remote file:
- 6.96 GB
- SHA256:
- 6b31058015b2b71744f9061778f61abc01e661f19d0a5f38877ed2a709827550
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