Instructions to use ritutweets46/layoutlm-funsd-again with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ritutweets46/layoutlm-funsd-again with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ritutweets46/layoutlm-funsd-again")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ritutweets46/layoutlm-funsd-again") model = AutoModelForTokenClassification.from_pretrained("ritutweets46/layoutlm-funsd-again", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from ritutweets46/layoutlm-funsd-again: direct link, hf CLI and curl.
- Browser
- Download file 759 Bytes
-
https://huggingface.co/ritutweets46/layoutlm-funsd-again/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://ritutweets46/layoutlm-funsd-again/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/ritutweets46/layoutlm-funsd-again/resolve/main/tokenizer_config.json
759 Bytes
| { | |
| "additional_special_tokens": null, | |
| "apply_ocr": false, | |
| "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, | |
| "name_or_path": "microsoft/layoutlmv2-base-uncased", | |
| "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 | |
| ], | |
| "special_tokens_map_file": null, | |
| "strip_accents": null, | |
| "tokenize_chinese_chars": true, | |
| "tokenizer_class": "LayoutLMv2Tokenizer", | |
| "unk_token": "[UNK]" | |
| } | |