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, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("facebook/nougat-base") model = AutoModelForImageTextToText.from_pretrained("facebook/nougat-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f45a2eb9dc5ccb9801b2ee0ebc97e77118e2e49d7b659b7b585f57ecad2b9120
- Size of remote file:
- 1.4 GB
- SHA256:
- 1d869e03add64b8f6a803fc7873e5c9048aa263a9b899fe834203e4352ddd440
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