Instructions to use eyaHarbaoui/markuplmForNER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eyaHarbaoui/markuplmForNER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="eyaHarbaoui/markuplmForNER")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("eyaHarbaoui/markuplmForNER") model = AutoModelForTokenClassification.from_pretrained("eyaHarbaoui/markuplmForNER") - 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 sha256:5a263057957d4487ccced95e1c1d3ad32a299e5cc5ac32136da1412d1ac633e9
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size 538515068
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