Instructions to use SixAILab/nepa-large-patch14-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SixAILab/nepa-large-patch14-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="SixAILab/nepa-large-patch14-224")# Load model directly from transformers import AutoModelForPreTraining model = AutoModelForPreTraining.from_pretrained("SixAILab/nepa-large-patch14-224", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag
#1
by nielsr HF Staff - opened
This PR improves the model card by adding the pipeline_tag: image-feature-extraction to the metadata. This will help users discover the model when filtering by pipeline type on the Hugging Face Hub and understand its primary functionality.
sihanxu changed pull request status to merged