Instructions to use sai-952/layoutmv2sai_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sai-952/layoutmv2sai_new with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sai-952/layoutmv2sai_new")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("sai-952/layoutmv2sai_new") model = AutoModelForSequenceClassification.from_pretrained("sai-952/layoutmv2sai_new") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e04099e416b28a00e071e1a3cd270cc0c34b31e80e13b0c9cc34068694208274
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size 802072068
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