Instructions to use jameslahm/lsnet_b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use jameslahm/lsnet_b with timm:
import timm model = timm.create_model("hf_hub:jameslahm/lsnet_b", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Add pipeline tag and usage example, remove library_tag
#1
by nielsr HF Staff - opened
Hi!
This PR improves the model card by:
- Adding the
pipeline_tag: image-classificationto the main metadata block so the model can be found at https://huggingface.co/models?pipeline_tag=image-classification. - Removing the redundant
library_tagmetadata. - Adding a sample usage snippet using
timm.
Feel free to merge if it looks good!
jameslahm changed pull request status to merged