Token Classification
Transformers
TensorBoard
Safetensors
layoutlmv3
Generated from Trainer
Eval Results (legacy)
Instructions to use cor-c/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cor-c/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cor-c/test")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("cor-c/test") model = AutoModelForTokenClassification.from_pretrained("cor-c/test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 266376642a80de99e5025d8462f95ebf16a065d6dc3789e768b22334f3160e7a
- Size of remote file:
- 501 MB
- SHA256:
- 3b463dcbe8ffea942fad1fd09f0c40e6dbf626d6195093307b3587fb152b4235
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