---
title: openai-clip-vit-large-patch14
canonical_url: "https://www.modelscope.cn/models/muse/openai-clip-vit-large-patch14"
md_url: "https://www.modelscope.cn/models/muse/openai-clip-vit-large-patch14.md"
repository: muse/openai-clip-vit-large-patch14
last_updated: 2024-08-19
model_type:
  - clip
architectures:
  - CLIPModel
parameters: 427.6M
tensor_type:
  - F32
  - I64
library_name:
  - safetensors
  - tensorflow
  - pytorch
frameworks:
  - Pytorch
inference_backends:
  - "deploy_task vlm"
  - "sglang 0.5.2"
downloads: 827840
stars: 3
---

# openai-clip-vit-large-patch14

> openai-clip-vit-large-patch14 - muse 在 ModelScope 开源的模型。Copy from oss://shark-console/models/internal/dasharksdk/RTPDiffusion/openai--clip-vit-large-patch14/20240806200639

muse/openai-clip-vit-large-patch14 是 ModelScope 魔搭社区上的 427.6M 参数机器学习模型，可用 deploy_task vlm、sglang 0.5.2 部署。

- **Repository**: muse/openai-clip-vit-large-patch14
- **Parameters**: 427.6M
- **Inference backends**: deploy_task vlm, sglang 0.5.2
- **Downloads**: 827840
- **Stars**: 3
- **Last updated**: 2024-08-19

Source: https://www.modelscope.cn/models/muse/openai-clip-vit-large-patch14

---

Copy from oss://shark-console/models/internal/dashark_sdk/RTPDiffusion/openai--clip-vit-large-patch14/20240806200639