Instructions to use Ammar-alhaj-ali/LayoutLMv3-Fine-Tuning-Invoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ammar-alhaj-ali/LayoutLMv3-Fine-Tuning-Invoice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Ammar-alhaj-ali/LayoutLMv3-Fine-Tuning-Invoice")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("Ammar-alhaj-ali/LayoutLMv3-Fine-Tuning-Invoice") model = AutoModelForTokenClassification.from_pretrained("Ammar-alhaj-ali/LayoutLMv3-Fine-Tuning-Invoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
dbbf019 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a43c456c032a22f56dffd5f1a28ff0e335b58711c9b9278a16c42e4bed660101
size 503784271
|