Instructions to use yassin99/cardRegTheBestOneCutBorder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yassin99/cardRegTheBestOneCutBorder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="yassin99/cardRegTheBestOneCutBorder")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("yassin99/cardRegTheBestOneCutBorder") model = AutoModelForTokenClassification.from_pretrained("yassin99/cardRegTheBestOneCutBorder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bc8b2ad16be927fc0d24060b1d5b81967d0486375f862b9179e27155ddbd14a
- Size of remote file:
- 451 MB
- SHA256:
- 1a1eb5729401dfb67b868b667a2e85fb1d23641ace95eacd394cf6b79f553f32
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