Instructions to use xiaomoguhzz/VisionEncoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xiaomoguhzz/VisionEncoder with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("xiaomoguhzz/VisionEncoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4dca8b77c5adc0e443ebc5e33731208974abe1aa8f498c926813206f21df795e
- Size of remote file:
- 4.47 GB
- SHA256:
- c36c9a449fbcb3cecc3ae61966ed4c49f1346a1543193ba3b00bf848b20153bd
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