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
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README.md
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<div align="center">
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<img src="figures/logo.png" alt="Logo" width="200"/>
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---
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license: other
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license_name: modified-mit
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license_link: https://github.com/MiniMax-AI/VTP/blob/main/LICENSE
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language:
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- en
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pipeline_tag: image-feature-extraction
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library_name: transformers
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---
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<div align="center">
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<img src="figures/logo.png" alt="Logo" width="200"/>
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