Image Feature Extraction
Transformers
JAX
Safetensors
MLX
PyTorch
aimv2_vision_model
vision
custom_code
Instructions to use apple/aimv2-large-patch14-224-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apple/aimv2-large-patch14-224-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="apple/aimv2-large-patch14-224-distilled", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("apple/aimv2-large-patch14-224-distilled", trust_remote_code=True) model = AutoModel.from_pretrained("apple/aimv2-large-patch14-224-distilled", trust_remote_code=True, device_map="auto") - MLX
How to use apple/aimv2-large-patch14-224-distilled with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download apple/aimv2-large-patch14-224-distilled --local-dir aimv2-large-patch14-224-distilled
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Commit History
-
Fix missing revision
Verified signature064e344 -
Add HF compatible checkpoint (#2)
Verified signature- Update model (e862541708bf2a6d33cd21d8417ea537db7a1e28) Co-authored-by: Yaswanth <yaswanthgali@users.noreply.huggingface.co>45510ac
-
AMLR license (#1)
Verified signature- AMLR license (9d6269f5556453bcf6aae2d0b6fbc32dd7833fb1)d6d09b0
-
Add LICENSE
Verified signature242d376
-
Add `_no_split_modules`
a364abd
-
Update README
e22c38d
-
Upload files
7beef17
-
initial commit
Verified signature8e15eb3