Instructions to use MiniMaxAI/VTP-Base-f16d64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MiniMaxAI/VTP-Base-f16d64 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="MiniMaxAI/VTP-Base-f16d64")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MiniMaxAI/VTP-Base-f16d64", dtype="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- bbbe942582c6af3a929d72602987f1c6a4d47962addbcf9d89643e17cd299b78
- Size of remote file:
- 158 kB
- SHA256:
- 272383eb6afb835bef158bdbeb0c0c0ca0f0cf9ea7d58b89f156d63431b4a24e
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