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:
- 5b8fb3c483cb0939d58d3d787ed9b29f020000812c5769778af0393ff4a0a8f5
- Size of remote file:
- 162 kB
- SHA256:
- 4ef096d261bae3809c26abed01a15ea4a3c6c11cc6d490b150ce6255e368704e
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