Instructions to use aehrc/uniformer_base_tl_384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aehrc/uniformer_base_tl_384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="aehrc/uniformer_base_tl_384", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("aehrc/uniformer_base_tl_384", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Hugging Face Transfomers implementation of UniFormer-B with Large resolution fine-tuning (384x384): https://github.com/Sense-X/UniFormer/tree/main/image_classification#large-resolution-fine-tuning-384x384
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