Instructions to use cominder/Iwin-Transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cominder/Iwin-Transformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="cominder/Iwin-Transformer")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cominder/Iwin-Transformer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Improve model card: add pipeline tag, library, GitHub link, and usage example
#1
by nielsr HF Staff - opened
This PR enhances the model card by:
- Adding the
pipeline_tag: image-feature-extractionto improve discoverability on the Hub. - Specifying
library_name: transformers, allowing users to easily load the model using the Transformers library. - Including a direct link to the official GitHub repository.
- Adding a brief description of the model and key highlights.
- Including a usage example.
It would be great to host different models in different model repositories too!