Instructions to use hantian/layoutreader with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hantian/layoutreader with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hantian/layoutreader")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("hantian/layoutreader") model = AutoModelForTokenClassification.from_pretrained("hantian/layoutreader", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature629be37
-
Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (aef6e9ebd05fa9fefbba25a0ce580fbf4307cfc4) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>6412267
-
Update README.md
Verified signatureca170a1
-
Upload 2 files
Verified signature46647b3 -
Update README.md
Verified signatureba3b3cb -
initial commit
Verified signature28bbc69