clip-vit-base-patch32
1. Model Introduction
This repository provides RKNN deployment configurations of clip-vit-base-patch32 for RK3576.
| Field | Value |
|---|---|
| Model ID | RKNNAI/RK3576-VIT-clip-vit-base-patch32 |
| Display Name | RK3576-VIT-clip-vit-base-patch32 |
| Source Model | https://huggingface.co/openai/clip-vit-base-patch32 |
| Model Type | VIT |
Available Models
| Configuration | Supported Chips | RKNN Runtime Version | Quantization | NPU Cores | Resolution | Max Text Length |
|---|---|---|---|---|---|---|
| clip-vit-base-patch32-224x224-fp16-1 | RK3576 | v2.4.0 |
vision: fp16; text: fp16 | vision: 1; text: 1 | vision: 224x224 | text: 20 (0.01953125k) |
2. Files
| Path | Description |
|---|---|
README.md |
English documentation |
README_CN.md |
Chinese documentation |
LICENSE |
License |
clip-vit-base-patch32-224x224-fp16-1/ |
Deployment configuration |
3. Download
ModelScope
Full repository:
modelscope download --model RKNNAI/RK3576-VIT-clip-vit-base-patch32 --revision v2.4.0 --local_dir ./RK3576-VIT-clip-vit-base-patch32
Selected configuration and root documents:
from modelscope import snapshot_download
snapshot_download(
"RKNNAI/RK3576-VIT-clip-vit-base-patch32",
revision="v2.4.0",
allow_patterns=["README.md", "README_CN.md", "LICENSE", "clip-vit-base-patch32-224x224-fp16-1/**"],
local_dir="./RK3576-VIT-clip-vit-base-patch32",
)
Hugging Face
Full repository:
hf download RKNNAI/RK3576-VIT-clip-vit-base-patch32 --revision v2.4.0 --local-dir ./RK3576-VIT-clip-vit-base-patch32
Selected configuration and root documents:
hf download RKNNAI/RK3576-VIT-clip-vit-base-patch32 --revision v2.4.0 --local-dir ./RK3576-VIT-clip-vit-base-patch32 --include README.md README_CN.md LICENSE 'clip-vit-base-patch32-224x224-fp16-1/**'
4. SHA-256 Verification
From the directory where you ran the download command, enter the configuration directory and verify:
cd ./RK3576-VIT-clip-vit-base-patch32/clip-vit-base-patch32-224x224-fp16-1
sha256sum -c SHA256SUMS
All entries must report OK before deployment.
5. Compatibility and Limitations
- Supported chips are listed per configuration above.
- Use the matching files from the same configuration.
6. Copyright and License
Source project: clip-vit-base-patch32. License: mit; see LICENSE. This distribution contains RKNN conversion derivatives for RK3576.
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