Instructions to use rpowalski/layoutlm-base-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rpowalski/layoutlm-base-qa with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rpowalski/layoutlm-base-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from rpowalski/layoutlm-base-qa: direct link, hf CLI and curl.
- Browser
- Download file 466 kB
-
https://huggingface.co/rpowalski/layoutlm-base-qa/resolve/main/tokenizer.json
- Command line
-
hf download hf://rpowalski/layoutlm-base-qa/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/rpowalski/layoutlm-base-qa/resolve/main/tokenizer.json
466 kB
- Xet hash:
- 898d08b9ec58e6b13d7b1a125e89939766b7bbb00ba5e7d6a8dca0baceb10ba6
- Size of remote file:
- 466 kB
- SHA256:
- 140bc04c5e92f035335992b6c2d706862a080d77384b23ac58df1110b0e7b4db
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