---
title: clip-vit-large-patch14-336
canonical_url: "https://www.modelscope.cn/models/AI-ModelScope/clip-vit-large-patch14-336"
md_url: "https://www.modelscope.cn/models/AI-ModelScope/clip-vit-large-patch14-336.md"
repository: AI-ModelScope/clip-vit-large-patch14-336
last_updated: 2024-01-29
pipeline_tag: image-captioning
tasks:
  - image-captioning
model_type:
  - clip
architectures:
  - CLIPModel
library_name:
  - tensorflow
  - pytorch
frameworks:
  - Pytorch
inference_backends:
  - "deploy_task vlm"
  - "sglang 0.5.2"
downloads: 64062
stars: 16
tags:
  - generated_from_keras_callback
---

# clip-vit-large-patch14-336

> clip-vit-large-patch14-336 - AI-ModelScope 在 ModelScope 开源的模型。clip-vit-large-patch14-336

AI-ModelScope/clip-vit-large-patch14-336 是 ModelScope 魔搭社区上的image-captioning模型，可用 deploy_task vlm、sglang 0.5.2 部署。

- **Repository**: AI-ModelScope/clip-vit-large-patch14-336
- **Tasks**: image-captioning
- **Inference backends**: deploy_task vlm, sglang 0.5.2
- **Tags**: generated_from_keras_callback
- **Downloads**: 64062
- **Stars**: 16
- **Last updated**: 2024-01-29

Source: https://www.modelscope.cn/models/AI-ModelScope/clip-vit-large-patch14-336

---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# clip-vit-large-patch14-336

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:


## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- optimizer: None
- training_precision: float32

### Training results



### Framework versions

- Transformers 4.21.3
- TensorFlow 2.8.2
- Tokenizers 0.12.1