Image Feature Extraction
Transformers
Safetensors
English
intern_vit_6b
feature-extraction
vision
image-classification
vit
ViTP
InternVL
domain-adaptation
general
custom_code
Instructions to use BiliSakura/ViTP-InternVL-1B-General with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BiliSakura/ViTP-InternVL-1B-General with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="BiliSakura/ViTP-InternVL-1B-General", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BiliSakura/ViTP-InternVL-1B-General", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 266 Bytes
5709afa | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"do_resize": true,
"size": 448,
"do_center_crop": true,
"crop_size": 448,
"do_normalize": true,
"image_mean": [0.485, 0.456, 0.406],
"image_std": [0.229, 0.224, 0.225],
"feature_extractor_type": "CLIPFeatureExtractor",
"resample": 3
}
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