Text-to-Image
Transformers
PyTorch
Chinese
altclip
zero-shot-image-classification
stable-diffusion
stable-diffusion-diffusers
Chinese
multilingual
English(En)
Chinese(Zh)
Spanish(Es)
French(Fr)
Russian(Ru)
Japanese(Ja)
Korean(Ko)
Arabic(Ar)
Italian(It)
Instructions to use BAAI/AltCLIP-m9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/AltCLIP-m9 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("BAAI/AltCLIP-m9") model = AutoModelForZeroShotImageClassification.from_pretrained("BAAI/AltCLIP-m9") - Notebooks
- Google Colab
- Kaggle
File size: 381 Bytes
e69dc85 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"crop_size": 224,
"do_center_crop": true,
"do_convert_rgb": true,
"do_normalize": true,
"do_resize": true,
"feature_extractor_type": "CLIPFeatureExtractor",
"image_mean": [
0.48145466,
0.4578275,
0.40821073
],
"image_std": [
0.26862954,
0.26130258,
0.27577711
],
"processor_class": "CHCLIPProcess",
"resample": 3,
"size": 224
}
|