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:
- 58720c7f087f1f2bdddfa45929c4b56bdb4513468f23adb42110fcf8ae765aa2
- Size of remote file:
- 116 MB
- SHA256:
- 05bd3fb3741ffc06de7c2095d81b30464c8f9534c4f1423c51991b8157b23d6f
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