Image-to-Text
Transformers
PyTorch
English
vision-encoder-decoder
image-text-to-text
donut
document-understanding
ocr-free
receipt-processing
vision-language-model
financial-documents
Instructions to use abdirisak874/finetune-donut-cord-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdirisak874/finetune-donut-cord-v3 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="abdirisak874/finetune-donut-cord-v3")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("abdirisak874/finetune-donut-cord-v3") model = AutoModelForMultimodalLM.from_pretrained("abdirisak874/finetune-donut-cord-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 355 Bytes
02ad846 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"additional_special_tokens": [
"<s_iitcdip>",
"<s_synthdog>"
],
"bos_token": "<s>",
"cls_token": "<s>",
"eos_token": "</s>",
"mask_token": {
"content": "<mask>",
"lstrip": true,
"normalized": true,
"rstrip": false,
"single_word": false
},
"pad_token": "<pad>",
"sep_token": "</s>",
"unk_token": "<unk>"
}
|