Instructions to use nhung/layoutxlm-de-durch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nhung/layoutxlm-de-durch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nhung/layoutxlm-de-durch")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("nhung/layoutxlm-de-durch") model = AutoModelForTokenClassification.from_pretrained("nhung/layoutxlm-de-durch") - 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 sha256:5bc599d89a78365e117321e48e89ca2246a60fcd5eb0ceaced5f471390203621
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size 1476599772
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