Instructions to use Bilgee/layoutlmv3-testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bilgee/layoutlmv3-testing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Bilgee/layoutlmv3-testing")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("Bilgee/layoutlmv3-testing") model = AutoModelForSequenceClassification.from_pretrained("Bilgee/layoutlmv3-testing") - 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 sha256:3564838945beb7fde84c8c98198c554fe81d7d07f931ff493715c2be75f0240d
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size 503759252
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