Downloads · 30 days
14K
13% of all-time downloads
vit-gpt2-image-captioning
Xenova/vit-gpt2-image-captioning
vit-gpt2-image-captioning is a image-to-text model from Xenova. Use it when you need a caption or text from an image. It is set up for transformers.js.
https://huggingface.co/nlpconnect/vit-gpt2-image-captioning with ONNX weights to be compatible with Transformers.js.
All-time downloads
109K
Public
Repo size
15.2 GB
Likes
30
Public
Repo makeup
Click a slice to open those files.
.onnx3.2 GB · 100%
At a glance
- Task
- Image-to-Text
- Library
- transformers.js
- Model type
- vision-encoder-decoder
- Access
- Public
- Created
- May 2, 2023
- Updated
- Oct 8, 2024
- SHA
- 215b4edc
Base models
Model card
From the Hugging Face model README
https://huggingface.co/nlpconnect/vit-gpt2-image-captioning with ONNX weights to be compatible with Transformers.js.
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).
- Task
- Image-to-Text
- Library
- transformers.js
- Type
- vision-encoder-decoder
- Created
- May 2, 2023
- Updated
- Oct 8, 2024