Instructions to use Web4/Linkspreed-MLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Web4/Linkspreed-MLM with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('any-to-any', 'Web4/Linkspreed-MLM');
Download onnx/vision_encoder.onnx_data from Web4/Linkspreed-MLM: direct link, hf CLI and curl.
- Browser
- Download file 674 MB
-
https://huggingface.co/Web4/Linkspreed-MLM/resolve/main/onnx/vision_encoder.onnx_data
- Command line
-
hf download hf://Web4/Linkspreed-MLM/onnx/vision_encoder.onnx_data
-
curl -L -o vision_encoder.onnx_data https://huggingface.co/Web4/Linkspreed-MLM/resolve/main/onnx/vision_encoder.onnx_data
674 MB
- Xet hash:
- 8bacf8d7549b6a88524b1cc63db40c7a75f26e754c266210feb748511855a688
- Size of remote file:
- 674 MB
- SHA256:
- f0468ff0c7994459072f712da835eada7a9a8eb21f92ca561ab61570ed3ef15b
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