Instructions to use phonsobon/text_extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phonsobon/text_extraction with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("phonsobon/text_extraction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "added_tokens_decoder": { | |
| "66553": { | |
| "content": "</S>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "66556": { | |
| "content": "<PAD>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "bos_token": null, | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "</S>", | |
| "extra_special_tokens": {}, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<PAD>", | |
| "processor_class": "MultimodalFoundationProcessor", | |
| "tokenizer_class": "GreedyMathUTF16Tokenizer", | |
| "unk_token": null | |
| } | |