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:
- ca3ec213ea6d62427da3c4748b7d049fa88427507af83a124a37f2cc13170c67
- Size of remote file:
- 1.18 GB
- SHA256:
- c7fdbb1507cecbcbb35eab4ea9fcbca8dc80b5e0d64cfe0c37b7baacdbb0fa05
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