Instructions to use cccornflake/yangsan-ivila-row-microsoft-layoutlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cccornflake/yangsan-ivila-row-microsoft-layoutlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cccornflake/yangsan-ivila-row-microsoft-layoutlm")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cccornflake/yangsan-ivila-row-microsoft-layoutlm") model = AutoModelForTokenClassification.from_pretrained("cccornflake/yangsan-ivila-row-microsoft-layoutlm") - 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 sha256:1bc1609d6905c0d105f930032297bdf77a710f3859a76e97a48c5867c6317086
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size 450548980
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