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("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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1848346d3f3e7028169aa0c9320e74314604b82414c11de2f5e32b55b977c6bc
- Size of remote file:
- 6.78 kB
- SHA256:
- da8901b717b129aaa016f2620c9a2155e308d4dde61ce15db5b7130e40b4bc65
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