Token Classification
Transformers
Safetensors
layoutlmv3
ner
on-device
privacy
flowx
openner
cross
de-identification
Instructions to use flowxai/docformner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flowxai/docformner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="flowxai/docformner")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("flowxai/docformner") model = AutoModelForTokenClassification.from_pretrained("flowxai/docformner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_prefix_space": true, | |
| "apply_ocr": false, | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "cls_token_box": [ | |
| 0, | |
| 0, | |
| 0, | |
| 0 | |
| ], | |
| "eos_token": "</s>", | |
| "errors": "replace", | |
| "is_local": false, | |
| "local_files_only": false, | |
| "mask_token": "<mask>", | |
| "model_max_length": 512, | |
| "only_label_first_subword": true, | |
| "pad_token": "<pad>", | |
| "pad_token_box": [ | |
| 0, | |
| 0, | |
| 0, | |
| 0 | |
| ], | |
| "pad_token_label": -100, | |
| "processor_class": "LayoutLMv3Processor", | |
| "sep_token": "</s>", | |
| "sep_token_box": [ | |
| 0, | |
| 0, | |
| 0, | |
| 0 | |
| ], | |
| "tokenizer_class": "LayoutLMv3Tokenizer", | |
| "unk_token": "<unk>" | |
| } | |