Image-to-Text
PEFT
Safetensors
Portuguese
English
vision-language
table-extraction
scientific-figures
markdown-table
qwen2.5-vl
lora
icdar-metric-loss
Instructions to use lucasoc/sci-image-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lucasoc/sci-image-models with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-VL-3B-Instruct") model = PeftModel.from_pretrained(base_model, "lucasoc/sci-image-models") - Notebooks
- Google Colab
- Kaggle
Download src/data/__pycache__/preprocessor.cpython-310.pyc from lucasoc/sci-image-models: direct link, hf CLI and curl.
- Browser
- Download file 1.09 kB
-
https://huggingface.co/lucasoc/sci-image-models/resolve/main/src/data/__pycache__/preprocessor.cpython-310.pyc
- Command line
-
hf download hf://lucasoc/sci-image-models/src/data/__pycache__/preprocessor.cpython-310.pyc
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curl -L -o preprocessor.cpython-310.pyc https://huggingface.co/lucasoc/sci-image-models/resolve/main/src/data/__pycache__/preprocessor.cpython-310.pyc
1.09 kB
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