Feature Extraction
Transformers.js
ONNX
bert
decidekit
system-one
text-classification
zero-shot-classification
calibration
on-device
Instructions to use debuffjp/decide-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use debuffjp/decide-multilingual with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('feature-extraction', 'debuffjp/decide-multilingual');
Download onnx/model_quantized.onnx from debuffjp/decide-multilingual: direct link, hf CLI and curl.
- Browser
- Download file 118 MB
-
https://huggingface.co/debuffjp/decide-multilingual/resolve/main/onnx/model_quantized.onnx
- Command line
-
hf download hf://debuffjp/decide-multilingual/onnx/model_quantized.onnx
-
curl -L -o model_quantized.onnx https://huggingface.co/debuffjp/decide-multilingual/resolve/main/onnx/model_quantized.onnx
118 MB
- Xet hash:
- e4ef02ed8a04905e4c3b4cd665771a39d409545c89d104d0507145c297223487
- Size of remote file:
- 118 MB
- SHA256:
- f80102d3f2a1229f387d3c81909990d8945513e347b0eab049f7de3c6f98c193
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