Instructions to use veason/ViTLP-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use veason/ViTLP-medium with Transformers:
# Load model directly from transformers import AutoModelForPreTraining model = AutoModelForPreTraining.from_pretrained("veason/ViTLP-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63c13450c166be8a6d42da752beefc7ffe90d5c80ea4253b211f519ea159ed56
- Size of remote file:
- 1.57 GB
- SHA256:
- 153cbc7232869a17b72e56591ca751e4542ed0d44bff0e16d2e5bd1f61d7e1a5
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