Create README.md

README.md

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+---
+tags:
+- text-generation-inference
+- whisper
+- audio
+base_model:
+- openai/whisper-large-v3
+---
+
+
+# Whisper Large v3 with Key-Value-Cache enabled in ONNX fp16 format
+- Model creator: [Open AI](https://huggingface.co/openai)
+- Original model: [Whisper Large v3](https://huggingface.co/openai/whisper-large-v3)
+
+<!-- description start -->
+## Description
+
+This repo contains the ONNX files for the ONNX conversion of Whisper Large v3 done by Esperanto Technologies.
+The model is in the fp16 format and has the KVC enabled.
+
+<!-- description end -->
+
+## How to download ONNX model and weight files
+
+The easiest way to obtain the model is to clone this whole repo.
+Alternatively you can download the files is using the `huggingface-hub` Python library.
+
+```shell
+pip3 install huggingface-hub>=0.17.1
+```
+
+Then you can download any individual model file to the current directory, at high speed, with a command like this:
+
+```shell
+huggingface-cli download Esperanto/whisper-large-v3-kvc-fp16-onnx --local-dir whisper-large-v3-kvc-fp16-onnx --local-dir-use-symlinks False
+```
+
+For more documentation on downloading with `huggingface-cli`, please see: [HF -> Hub Python Library -> Download files -> Download from the CLI](https://huggingface.co/docs/huggingface_hub/guides/download#download-from-the-cli).
+
+## How to run from Python code using ONNXRuntime
+
+This model can easily be ran in a CPU using [ONNXRuntime](https://onnxruntime.ai/).
+
+Scripts about how to run these models will be provided soon.