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:
- d4ae015a8272654927679f9fbfb785e2b3376b0fffb5856c9da3361fcf585a68
- Size of remote file:
- 342 kB
- SHA256:
- 9fd16961a6ce7b48777fa555ec6d614305328d6f6304cf276b5a9eb42b69f42d
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