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
| { | |
| "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 | |
| } | |