ModelVerificadoExterno

Whisper Medium Genai

openai/whisper-medium exported to ONNX Runtime GenAI format with separate encoder and decoder ONNX files plus external data files.

Fuentehuggingface.co/tonythethompson/Whisper-Medium-GenAI-ONNX/tree/583d14b008e0f494f382153e67a73df9c90bb206

TipoOtherModelo baseopenai/whisper-mediumVersiónRevision 583d14bPublicador@tonythethompsonCcalidad

Fuente del modelo

Tipo: Other
Tamaño del archivo: 187–266 KB
Modelo base: openai/whisper-medium
Versión: vRevision 583d14b
Actualizado: 3 oct 2026
Publicador: @tonythethompson
Descargas: 0
Fuente: Hugging Face

Descripción de la fuente

whisper-medium-genai

Overview

openai/whisper-medium exported to ONNX Runtime GenAI format with separate encoder and decoder ONNX files plus external data files.

Source

Field	Value
Upstream model	openai/whisper-medium
Upstream source revision	`abdf7c39ab9d0397620ccaea8974cc764cd0953e`
Packaging source revision	`658e5ba3cfe32f464f6a0d7fda3f86739e3c33a7`
Export tool/script	ONNX Runtime GenAI model builder (`onnxruntime-genai`)
Quantization recipe	FP32 weights in GenAI encoder/decoder ONNX layout

Precision and Packaging

Export tooling, precision, and quantization are recorded in the Source table above. This packaging mirror does not publish independent parity benchmarks; validate on your target execution provider before production use.

Model Details

Source model: openai/whisper-medium
Parameters: 769M
Format: ONNX Runtime GenAI encoder/decoder split
Runtime target: ONNX Runtime GenAI

Files

File	Description
`encoder.onnx` + `encoder.onnx.data`	Encoder model
`decoder.onnx` + `decoder.onnx.data`	Decoder model
`genai_config.json`	ONNX Runtime GenAI session configuration
`audio_processor_config.json`	Audio feature extraction configuration
`tokenizer.json` + `tokenizer_config.json`	Tokenizer files

Intended Use

Run the converted Whisper medium automatic speech recognition model with ONNX Runtime GenAI.

Training Data

This repository does not document training data. See the upstream source model for training data information.

Evaluation

Limitations

Performance and accuracy may differ from the upstream model depending on runtime, execution provider, and decoding configuration.
Training data and evaluation details are inherited from the upstream model documentation, not reproduced here.

License

Apache-2.0, matching the upstream openai/whisper-medium model.

Fuentes

1 fuente

Hugging FacePrincipalVersión 583d14b008e0f494f382153e67a73df9c90bb206

huggingface.co/tonythethompson/Whisper-Medium-GenAI-ONNX/tree/583d14b008e0f494f382153e67a73df9c90bb206

Verificado 3 oct

Artefactos del modelo

2 artefactos

decoder.onnx

onnx · 266 KB · SHA-256 e0f07a8beab5…be06 · Hugging Face

Descargar

encoder.onnx

onnx · 187 KB · SHA-256 b50c1851c7f1…cafd · Hugging Face

Descargar

Extractos de fuentes

3 extractos

Readme11 julhuggingface.co/tonythethompson/Whisper-Medium-GenAI-ONNX

--- license: apache-2.0 base_model: openai/whisper-medium pipeline_tag: automatic-speech-recognition library_name: onnxruntime-genai language: - multilingual tags: - onnx - onnxruntime-genai - whisper - automatic-speech-recognition --- # whisper-medium-genai ## Overview `openai/whisper-medium` exported to ONNX Runtime GenAI format with separate encoder and decoder ONNX files plus external data files. ## Source | Field | Value | |---|---| | Upstream model | [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) | | Upstream source revision | `abdf7c39ab9d0397620ccaea8974cc764cd0953e` | | Packaging source revision | `658e5ba3cfe32f464f6a0d7fda3f86739e3c33a7` | | Export tool/script | ONNX Runtime GenAI model builder (`onnxruntime-genai`) | | Quantization recipe | FP32 weights in GenAI encoder/decoder ONNX layout | ## Precision and Packaging Export tooling, precision, and quantization are recorded in the **Source** table above. This packaging mirror does not publish independent parity benchmarks; validate on your target execution provider before production use. ## Model Details - Source model: [`openai/whisper-medium`](https://huggingface.co/openai/whisper-medium) - Parameters: 769M - Format: ONNX Runtime GenAI encoder/decoder split - Runtime target: ONNX Runtime GenAI ## Files | File | Description | |---|---| | `encoder.onnx` + `encoder.onnx.data` | Encoder model | | `decoder.onnx` + `decoder.onnx.data` | Decoder model | | `genai_config.json` | ONNX Runtime GenAI session configuration | | `audio_processor_config.json` | Audio feature extraction configuration | | `tokenizer.json` + `tokenizer_config.json` | Tokenizer files | ## Intended Use Run the converted Whisper medium automatic speech recognition model with ONNX Runtime GenAI. ## Training Data This repository does not document training data. See the upstream source model for training data information. ## Evaluation ## Limitations - Performance and accuracy may differ from the upstream model depending on runtime, execution provider, and decoding configuration. - Training data and evaluation details are inherited from the upstream model documentation, not reproduced here. ## License Apache-2.0, matching the upstream [`openai/whisper-medium`](https://huggingface.co/openai/whisper-medium) model.

Note11 julhuggingface.co/tonythethompson/Whisper-Medium-GenAI-ONNX

Source context: 0 downloads · 1 likes · Pipeline automatic-speech-recognition · Library onnxruntime-genai · Repo tonythethompson/Whisper-Medium-GenAI-ONNX

Note19 mayhuggingface.co/api/models/tonythethompson/whisper-medium-genai

Source context: 0 downloads · 0 likes · Repo tonythethompson/whisper-medium-genai