Instructions to use Kwan0/layoutlmv3-base-finetune-DocLayNet-100k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kwan0/layoutlmv3-base-finetune-DocLayNet-100k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Kwan0/layoutlmv3-base-finetune-DocLayNet-100k")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("Kwan0/layoutlmv3-base-finetune-DocLayNet-100k") model = AutoModelForTokenClassification.from_pretrained("Kwan0/layoutlmv3-base-finetune-DocLayNet-100k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c40a476a1768133afacc3e924afa67cad7dbebc87b76fc45014534d2a645c8f0
- Size of remote file:
- 3.95 kB
- SHA256:
- 1e712442760e29987520b10807deb0ea15e5d603f4591ac5c9d4ce5850d43336
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