Instructions to use midudev/text2emoji-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use midudev/text2emoji-tiny with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-generation', 'midudev/text2emoji-tiny');
Download onnx/encoder_model_quantized.onnx from midudev/text2emoji-tiny: direct link, hf CLI and curl.
- Browser
- Download file 1.73 MB
-
https://huggingface.co/midudev/text2emoji-tiny/resolve/main/onnx/encoder_model_quantized.onnx
- Command line
-
hf download hf://midudev/text2emoji-tiny/onnx/encoder_model_quantized.onnx
-
curl -L -o encoder_model_quantized.onnx https://huggingface.co/midudev/text2emoji-tiny/resolve/main/onnx/encoder_model_quantized.onnx
1.73 MB
- Xet hash:
- b5601866b0b048e0c6dba2ca4aa876a260ca5fc6f04f93e42412a0897c4dbf7c
- Size of remote file:
- 1.73 MB
- SHA256:
- f2866c5d73b9878dff3d3a13b617821b7170c27c4b9454a46aafd25caabe9249
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.