Instructions to use Githubturer/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Githubturer/layoutlm-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Githubturer/layoutlm-funsd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Githubturer/layoutlm-funsd") model = AutoModelForTokenClassification.from_pretrained("Githubturer/layoutlm-funsd") - Notebooks
- Google Colab
- Kaggle
| { | |
| "additional_special_tokens": null, | |
| "apply_ocr": false, | |
| "clean_up_tokenization_spaces": true, | |
| "cls_token": "[CLS]", | |
| "cls_token_box": [ | |
| 0, | |
| 0, | |
| 0, | |
| 0 | |
| ], | |
| "do_basic_tokenize": true, | |
| "do_lower_case": true, | |
| "mask_token": "[MASK]", | |
| "model_max_length": 512, | |
| "never_split": null, | |
| "only_label_first_subword": true, | |
| "pad_token": "[PAD]", | |
| "pad_token_box": [ | |
| 0, | |
| 0, | |
| 0, | |
| 0 | |
| ], | |
| "pad_token_label": -100, | |
| "processor_class": "LayoutLMv2Processor", | |
| "sep_token": "[SEP]", | |
| "sep_token_box": [ | |
| 1000, | |
| 1000, | |
| 1000, | |
| 1000 | |
| ], | |
| "strip_accents": null, | |
| "tokenize_chinese_chars": true, | |
| "tokenizer_class": "LayoutLMv2Tokenizer", | |
| "unk_token": "[UNK]" | |
| } | |