Instructions to use Norm/nougat-latex-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Norm/nougat-latex-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="Norm/nougat-latex-base")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("Norm/nougat-latex-base") model = AutoModelForImageTextToText.from_pretrained("Norm/nougat-latex-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d99a7142806710f0a58de91ecbb34c2aa165305e6856c3da11879781a817f71
- Size of remote file:
- 1.4 GB
- SHA256:
- a35a900b0d8b2e0e6e6eaa1a0787bf5e8dbc7b78aad3bead7a1afdf6d7f8ff96
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