Image Feature Extraction
Transformers
Safetensors
siglip_vision_model
siglip2
siglip
vision-encoder
vision-only
extracted-submodule
active-speaker-detection
lip-motion
lip-sync-qc
multimodal
bf16
native
apache-2.0
commercial-ok
noesis
noesis-vision
noesis-dubbing
dhcf-fno
vendored-internal
Instructions to use AMAImedia/NOESIS-MiniCPM-V-4.6-SigLIP2-BF16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AMAImedia/NOESIS-MiniCPM-V-4.6-SigLIP2-BF16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="AMAImedia/NOESIS-MiniCPM-V-4.6-SigLIP2-BF16")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AMAImedia/NOESIS-MiniCPM-V-4.6-SigLIP2-BF16") model = AutoModel.from_pretrained("AMAImedia/NOESIS-MiniCPM-V-4.6-SigLIP2-BF16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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