Instructions to use toilaluan/finevit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use toilaluan/finevit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="toilaluan/finevit", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("toilaluan/finevit", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
FineViT
This folder was converted from a local FineViT training checkpoint.
from transformers import AutoImageProcessor, AutoModel
processor = AutoImageProcessor.from_pretrained("checkpoints/dinov2wregbase-hf")
model = AutoModel.from_pretrained("checkpoints/dinov2wregbase-hf", trust_remote_code=True)
The weights are stored in model.safetensors.
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