Token Classification
Transformers
Safetensors
layoutlmv3
Generated from Trainer
Eval Results (legacy)
Instructions to use ritutweets46/Layoutlmv3-finetuned-DocLayNet-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ritutweets46/Layoutlmv3-finetuned-DocLayNet-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ritutweets46/Layoutlmv3-finetuned-DocLayNet-test")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("ritutweets46/Layoutlmv3-finetuned-DocLayNet-test") model = AutoModelForTokenClassification.from_pretrained("ritutweets46/Layoutlmv3-finetuned-DocLayNet-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ritutweets46/Layoutlmv3-finetuned-DocLayNet-test: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/ritutweets46/Layoutlmv3-finetuned-DocLayNet-test/resolve/main/training_args.bin
- Command line
-
hf download hf://ritutweets46/Layoutlmv3-finetuned-DocLayNet-test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ritutweets46/Layoutlmv3-finetuned-DocLayNet-test/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 161696a8c7d0b2b9616d9996dc745c8c53cf2d719ac66313bcb3797dcb7e0943
- Size of remote file:
- 5.18 kB
- SHA256:
- c9d8cc153eb20cbb65d794af285349caeaa09f0c54298315b1ef7a11c801fb36
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