Image-to-Text
Transformers
PyTorch
Safetensors
vision-encoder-decoder
image-text-to-text
vision
nougat
Instructions to use facebook/nougat-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/nougat-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="facebook/nougat-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("facebook/nougat-base") model = AutoModelForMultimodalLM.from_pretrained("facebook/nougat-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
9dd27d7
1
Parent(s): e5024ee
Adding `safetensors` variant of this model (#8)
Browse files- Adding `safetensors` variant of this model (c1316a6b7d4e19f2848d0e2901cebf2a7e0b5c1f)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:27d580b9b1b4d73497dd962dcc2af15a7415569957c50efe4cf3413ae10d6d50
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size 1395219256
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