Instructions to use BadreddineHug/LayoutLMv3_5_entities_filtred_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BadreddineHug/LayoutLMv3_5_entities_filtred_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="BadreddineHug/LayoutLMv3_5_entities_filtred_1")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("BadreddineHug/LayoutLMv3_5_entities_filtred_1") model = AutoModelForTokenClassification.from_pretrained("BadreddineHug/LayoutLMv3_5_entities_filtred_1", 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 sha256:20f934af67b9a06e5b9ed1aabe027e8feb35cb9750b3471825034a4bd5b28d9b
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size 1424105204
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