Instructions to use Xenova/instructor-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/instructor-base with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('feature-extraction', 'Xenova/instructor-base');
Download onnx/encoder_model_quantized.onnx from Xenova/instructor-base: direct link, hf CLI and curl.
- Browser
- Download file 110 MB
-
https://huggingface.co/Xenova/instructor-base/resolve/main/onnx/encoder_model_quantized.onnx
- Command line
-
hf download hf://Xenova/instructor-base/onnx/encoder_model_quantized.onnx
-
curl -L -o encoder_model_quantized.onnx https://huggingface.co/Xenova/instructor-base/resolve/main/onnx/encoder_model_quantized.onnx
110 MB
- Xet hash:
- eaafa58e77a6d8d35fdabe2345f02c7f7e8bf29ba02d14d9e232535036b2aac8
- Size of remote file:
- 110 MB
- SHA256:
- 271da55186c0e7a7c3af96830f3a7e9a1a928197f20ca667dfad5258d46b88ad
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