Instructions to use henriquequeirozcunha/microvit-s2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henriquequeirozcunha/microvit-s2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="henriquequeirozcunha/microvit-s2", trust_remote_code=True) pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModelForImageClassification model = AutoModelForImageClassification.from_pretrained("henriquequeirozcunha/microvit-s2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6dedc4837fa9311a88bc92b81bccd81df181855c8cd608578fb23a09c5b892c5
- Size of remote file:
- 46.2 MB
- SHA256:
- 6856eb789b6f892c50a70ed38c90c72270b4a1693da72b2ac1983e592f52b810
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