Image-to-Text
Transformers.js
PyTorch
ONNX
Safetensors
vision-encoder-decoder
image-text-to-text
image-captioning
Instructions to use Mozilla/distilvit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Mozilla/distilvit with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-to-text', 'Mozilla/distilvit');
Download pytorch_model.bin from Mozilla/distilvit: direct link, hf CLI and curl.
- Browser
- Download file 730 MB
-
https://huggingface.co/Mozilla/distilvit/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Mozilla/distilvit/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Mozilla/distilvit/resolve/main/pytorch_model.bin
730 MB
- Xet hash:
- 52475f8fbd3103331e920aa5c8da141a3a65dc8078a64cd7837efdab555359b6
- Size of remote file:
- 730 MB
- SHA256:
- ea90951d68491925423f56366196ab4d2a7cbafecc88d58623b8f74ae2118872
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