Instructions to use BadreddineHug/LayoutLMv3_5_entities_filtred with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BadreddineHug/LayoutLMv3_5_entities_filtred with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="BadreddineHug/LayoutLMv3_5_entities_filtred")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("BadreddineHug/LayoutLMv3_5_entities_filtred") model = AutoModelForTokenClassification.from_pretrained("BadreddineHug/LayoutLMv3_5_entities_filtred", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 1000
3e0677f -
Training in progress, step 500
cc05a0b -
Training in progress, step 500
6ed02e6 -
Training in progress, step 500
c0b8ca3
-
initial commit
d73ffc6