Instructions to use hantian/layoutreader with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hantian/layoutreader with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hantian/layoutreader")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("hantian/layoutreader") model = AutoModelForTokenClassification.from_pretrained("hantian/layoutreader") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a5c5b312d1ecfa9f77a9db7bda11a23b56605e977aa21c519b52fa088fb2d13
- Size of remote file:
- 713 MB
- SHA256:
- 9df7c046b212c1892a649cbf98f2a521bbb32741e8cbc06f10ffd4247b53c451
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