Instructions to use gagan3012/swin_arocr_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gagan3012/swin_arocr_tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="gagan3012/swin_arocr_tiny")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("gagan3012/swin_arocr_tiny") model = AutoModel.from_pretrained("gagan3012/swin_arocr_tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
ec886a1 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:bd5c9de5c03586a4f4159884130e578da024a10c7f685ae7cdd8dfd343f97b03
size 110391195
|