Instructions to use kevin-pek/nougat-api with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kevin-pek/nougat-api 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="kevin-pek/nougat-api")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("kevin-pek/nougat-api") model = AutoModelForMultimodalLM.from_pretrained("kevin-pek/nougat-api", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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test without postprocessing
kevin-pek835c1c9 -
change to small model
kevin-pek7bdd3d6 -
add stopping criteria for inference
kevin-pek4b9dac6
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try using NougatProcessor using custom transformer version
kevin-pek82eb988 -
replace NougatProcessor with AutoProcessor
kevin-peke8c3179 -
add custom handler.py and upload files
8ccadc6