Instructions to use mathieu1256/layoutlmv3-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mathieu1256/layoutlmv3-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mathieu1256/layoutlmv3-test")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("mathieu1256/layoutlmv3-test") model = AutoModelForTokenClassification.from_pretrained("mathieu1256/layoutlmv3-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mathieu1256/layoutlmv3-test: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/mathieu1256/layoutlmv3-test/resolve/main/training_args.bin
- Command line
-
hf download hf://mathieu1256/layoutlmv3-test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mathieu1256/layoutlmv3-test/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- d622812d52c49ec57d52a28d7c0d82dd8cee038d466d6d4cd083fd06a823adee
- Size of remote file:
- 4.66 kB
- SHA256:
- 5b609daa8438bf171c892456e413e718b132d14eb4bb6655e6aa1f1d67b46ada
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