Instructions to use ukr-models/uk-punctcase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ukr-models/uk-punctcase with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ukr-models/uk-punctcase")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ukr-models/uk-punctcase") model = AutoModelForTokenClassification.from_pretrained("ukr-models/uk-punctcase", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b2a87a1b0cdd1eeaabae6caaad2afc2d2fe51d83f36a56ec693ba722c4d97ba
- Size of remote file:
- 438 MB
- SHA256:
- 4aae24ebc41264fbeff76d86e5264e6c5cc05c9f0418c892fa9bda3b8b5e3ebf
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