Instructions to use microsoft/layoutlm-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/layoutlm-base-uncased with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/layoutlm-base-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from microsoft/layoutlm-base-uncased: direct link, hf CLI and curl.
- Browser
- Download file 170 Bytes
-
https://huggingface.co/microsoft/layoutlm-base-uncased/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://microsoft/layoutlm-base-uncased/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/microsoft/layoutlm-base-uncased/resolve/main/tokenizer_config.json
170 Bytes
| {"do_lower_case": true, "max_len": 512, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "init_inputs": []} |