Instructions to use michel-ducartier/BiomedCLIPv5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michel-ducartier/BiomedCLIPv5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="michel-ducartier/BiomedCLIPv5", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michel-ducartier/BiomedCLIPv5", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 519 Bytes
691ec83 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | {
"auto_map": {
"AutoImageProcessor": "image_processing_biomedclip.BiomedCLIPImageProcessor"
},
"image_processor_type": "BiomedCLIPImageProcessor",
"is_train": false,
"preprocess": null,
"preprocess_cfg": {
"fill_color": 0,
"interpolation": "bicubic",
"mean": [
0.48145466,
0.4578275,
0.40821073
],
"mode": "RGB",
"resize_mode": "shortest",
"size": [
224,
224
],
"std": [
0.26862954,
0.26130258,
0.27577711
]
}
}
|