Instructions to use Monsif99/layoutlm_hug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Monsif99/layoutlm_hug with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Monsif99/layoutlm_hug")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Monsif99/layoutlm_hug") model = AutoModelForTokenClassification.from_pretrained("Monsif99/layoutlm_hug") - 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 sha256:882cb2edea222aceb17a71a12c87c600ed57171b4dc79dbe76c97780360378eb
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size 450564364
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