Instructions to use goatrider/layout1500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use goatrider/layout1500 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="goatrider/layout1500")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("goatrider/layout1500") model = AutoModelForTokenClassification.from_pretrained("goatrider/layout1500", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature3c3b4bc -
Update README.md
Verified signaturecc95ee6 -
Update README.md
Verified signature35768dd -
Update README.md
Verified signatured8ee26a -
Update README.md
Verified signaturec25eb26 -
Update README.md
Verified signaturedd4b0ef
-
Update README.md
Verified signature1966710
-
Upload 13 files
Verified signature517b39d -
Delete checkpoint-2000
Verified signature20b9eb0 -
Update README.md
Verified signature745bfb6 -
Update README.md
Verified signatureeeb45a1 -
Upload 13 files
Verified signature692542d -
initial commit
Verified signature40e1ce7