ModelVérifiéExterne

Whisper Base Genai

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

Sourcehuggingface.co/tonythethompson/Whisper-Base-GenAI-ONNX/tree/1f6dad740727c42c1557aaf42e648efd6c759571

TypeOtherModèle de baseopenai/whisper-baseVersionRevision 1f6dad7Éditeur@tonythethompsonCClasse

Source du modèle

Type: Other
Taille du fichier: 48,5–68,9 KB
Modèle de base: openai/whisper-base
Version: vRevision 1f6dad7
Mis à jour: 3 oct. 2026
Éditeur: @tonythethompson
Téléchargements: 0
Source: Hugging Face

Description de la source

whisper-base-genai

Overview

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

Source

Field	Value
Upstream model	openai/whisper-base
Upstream source revision	`e37978b90ca9030d5170a5c07aadb050351a65bb`
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-base
Parameters: 74M
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 base 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-base model.

Sources

1 source

Hugging FacePrincipalVersion 1f6dad740727c42c1557aaf42e648efd6c759571

huggingface.co/tonythethompson/Whisper-Base-GenAI-ONNX/tree/1f6dad740727c42c1557aaf42e648efd6c759571

Vérifié 3 oct.

Artefacts du modèle

2 artefacts

decoder.onnx

onnx · 68,9 KB · SHA-256 1d67392f0829…dfc5 · Hugging Face

Télécharger

encoder.onnx

onnx · 48,5 KB · SHA-256 d17fadee324e…30fd · Hugging Face

Télécharger

Extraits de sources

3 extraits

Readme11 juil.huggingface.co/tonythethompson/Whisper-Base-GenAI-ONNX

--- license: apache-2.0 base_model: openai/whisper-base pipeline_tag: automatic-speech-recognition library_name: onnxruntime-genai language: - multilingual tags: - onnx - onnxruntime-genai - whisper - automatic-speech-recognition --- # whisper-base-genai ## Overview `openai/whisper-base` exported to ONNX Runtime GenAI format with separate encoder and decoder ONNX files plus external data files. ## Source | Field | Value | |---|---| | Upstream model | [openai/whisper-base](https://huggingface.co/openai/whisper-base) | | Upstream source revision | `e37978b90ca9030d5170a5c07aadb050351a65bb` | | 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-base`](https://huggingface.co/openai/whisper-base) - Parameters: 74M - 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 base 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-base`](https://huggingface.co/openai/whisper-base) model.

Note11 juil.huggingface.co/tonythethompson/Whisper-Base-GenAI-ONNX

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

Note19 maihuggingface.co/api/models/tonythethompson/whisper-base-genai

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