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
| { | |
| "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>" | |
| } | |