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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("InternScience/StructTable-base") model = AutoModelForMultimodalLM.from_pretrained("InternScience/StructTable-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from InternScience/StructTable-base: direct link, hf CLI and curl.
- Browser
- Download file 1.29 GB
-
https://huggingface.co/InternScience/StructTable-base/resolve/main/model.safetensors
- Command line
-
hf download hf://InternScience/StructTable-base/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/InternScience/StructTable-base/resolve/main/model.safetensors
1.29 GB
- Xet hash:
- dc7994243cd38fe9b60fe39d5c37a8a65f0f9621ba58694724b82cb0d9d0e22c
- Size of remote file:
- 1.29 GB
- SHA256:
- 85661216f7547cba62312829bff47755d12907ea49ebb49dad65ade6ebf64706
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