Instructions to use noavm/layoutlmv3-testing-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use noavm/layoutlmv3-testing-v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="noavm/layoutlmv3-testing-v0")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("noavm/layoutlmv3-testing-v0") model = AutoModelForTokenClassification.from_pretrained("noavm/layoutlmv3-testing-v0", device_map="auto") - 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 sha256:1986180df0dc9d852bb4f428b6c002406b2e88e9d3f9537a9282d107fbf8b53d
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size 503780784
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