Sagicc/whisper-large-v3-sr-onnx
By Sagicc · ↓ 10 · ♥ 2 · Updated 2024-10-19
What's in this repo
This page lists the files in Sagicc/whisper-large-v3-sr-onnx, including decoder_model.onnx, decoder_model_merged.onnx, decoder_model_merged_quantized.onnx and more.
- 8 ONNX models (.onnx files)
- 24 files, including 9 .json, 8 .onnx, 4 .onnx_data, 1 .md, 1 .txt
- Last updated 2024-10-19
ONNX files
| File | Size | Download |
|---|---|---|
| onnx/decoder_model.onnx | — | Download |
| onnx/decoder_model_merged.onnx | — | Download |
| onnx/decoder_model_merged_quantized.onnx | — | Download |
| onnx/decoder_model_quantized.onnx | — | Download |
| onnx/decoder_with_past_model.onnx | — | Download |
| onnx/decoder_with_past_model_quantized.onnx | — | Download |
| onnx/encoder_model.onnx | — | Download |
| onnx/encoder_model_quantized.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
Fine-tunned Serbian Whisper v3 to use it with Transformers.js
ONNX converted
https://huggingface.co/Sagicc/whisper-large-v3-sr-combined with ONNX weights to be compatible with Transformers.js.
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).
Model info
Created: 2023-11-25
Updated: 2024-10-19
View on Hugging Face