Instructions to use InternScience/StructTable-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InternScience/StructTable-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="InternScience/StructTable-base")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("InternScience/StructTable-base") model = AutoModelForImageTextToText.from_pretrained("InternScience/StructTable-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4509a6b0a3dac0064683ca0e5f88afc2d6b8335b31d75305f2051a5d30241a44
- Size of remote file:
- 1.21 MB
- SHA256:
- fad1d4fa991da128c14d040d1e3ed2722b9183bf25404b01de9a47b0581905a0
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