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:
- 37cabc279cd07768293cc90540d145fe5b4b5dc6f65b1a392d873608040e1994
- Size of remote file:
- 1.04 MB
- SHA256:
- 4d1a9ef729f1f7fe94a4d2f26468299c9b1925ae712242d930ee8da28285a6de
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