Image-to-Text
Transformers
PyTorch
English
Māori
vision-encoder-decoder
image-text-to-text
abteex-ai-labs
aotearoa
doc-ai
document-vqa
donut
local-first
lumynax
new-zealand
sovereign-ai
legacy
outdated
Instructions to use AbteeXAILab/lumynax-doc-donut-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AbteeXAILab/lumynax-doc-donut-base 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="AbteeXAILab/lumynax-doc-donut-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("AbteeXAILab/lumynax-doc-donut-base") model = AutoModelForMultimodalLM.from_pretrained("AbteeXAILab/lumynax-doc-donut-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
feat: initial LumynaX scaffold (card v6 + quickstart + manifest + Modelfile + Space scaffold)
91b54f7 verified | huggingface_hub>=0.27 | |
| numpy | |
| torch>=2.4 | |
| transformers>=4.50 | |
| accelerate>=1.0 | |
| safetensors | |
| sentencepiece | |
| einops | |