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
File size: 723 Bytes
310ad98 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | {
"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
}
|