Fill-Mask
Transformers
Safetensors
English
modernlayoutlm
document-understanding
layoutlm
modernbert
custom_code
Instructions to use kkuroma/ModernLayoutLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kkuroma/ModernLayoutLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kkuroma/ModernLayoutLM", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("kkuroma/ModernLayoutLM", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 521 Bytes
3fac549 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"auto_map": {
"AutoProcessor": "processing_modernlayoutlm.ModernLayoutLmProcessor"
},
"backend": "tokenizers",
"clean_up_tokenization_spaces": true,
"cls_token": "[CLS]",
"is_local": true,
"local_files_only": false,
"mask_token": "[MASK]",
"model_input_names": [
"input_ids",
"attention_mask"
],
"model_max_length": 8192,
"pad_token": "[PAD]",
"processor_class": "ModernLayoutLmProcessor",
"sep_token": "[SEP]",
"tokenizer_class": "TokenizersBackend",
"unk_token": "[UNK]"
}
|