Instructions to use Mantis-VL/intern_vl_25_max32_16384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mantis-VL/intern_vl_25_max32_16384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="Mantis-VL/intern_vl_25_max32_16384", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Mantis-VL/intern_vl_25_max32_16384", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 352c2814b6642dcfa4551e8d06d4277b044cd9f2628490f7261ac17e642d911f
- Size of remote file:
- 4.97 GB
- SHA256:
- 2991b3c65c9d837ad234e7b1af8e5185155628f6b62fb1632c70e0c79ad9ffc3
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