Audio-Text-to-Text
Transformers
Safetensors
English
Korean
fastslm
feature-extraction
audio
text-generation
custom_code
Eval Results
Instructions to use okestro-ai-lab/FastSLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use okestro-ai-lab/FastSLM with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("okestro-ai-lab/FastSLM", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
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pipeline_tag: audio-text-to-text
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base_model:
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- Qwen/Qwen3-4B
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model-index:
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- name: SYMPHONY-ASR
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new_version: okestro-ai-lab/SYMPHONY-ASR
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---
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* SYMPHONY is an designed for efficient and accurate speech-to-text transcription.
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pipeline_tag: audio-text-to-text
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base_model:
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- Qwen/Qwen3-4B
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# model-index:
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# - name: SYMPHONY-ASR
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# results:
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# - task:
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# name: Automatic Speech Recognition
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# type: automatic-speech-recognition
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# dataset:
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# name: AMI (Meetings test)
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# type: edinburghcstr/ami
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# config: ihm
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# split: test
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# args:
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# language: en
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# metrics:
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# - name: Test WER
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# type: wer
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# value: 10.8
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# - task:
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# name: Automatic Speech Recognition
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# type: automatic-speech-recognition
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# dataset:
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# name: Earnings-22
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# type: revdotcom/earnings22
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# split: test
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# args:
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# language: en
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# metrics:
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# - name: Test WER
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# type: wer
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# value: 10.7
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# - task:
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# name: Automatic Speech Recognition
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# type: automatic-speech-recognition
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# dataset:
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# name: GigaSpeech
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# type: speechcolab/gigaspeech
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# split: test
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# args:
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# language: en
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# metrics:
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# - name: Test WER
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# type: wer
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# value: 10.7
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# - task:
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# name: Automatic Speech Recognition
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# type: automatic-speech-recognition
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# dataset:
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# name: LibriSpeech (clean)
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# type: librispeech_asr
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# config: other
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# split: test
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# args:
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# language: en
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# metrics:
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# - name: Test WER
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# type: wer
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# value: 2.26
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# - task:
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# name: Automatic Speech Recognition
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# type: automatic-speech-recognition
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# dataset:
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# name: LibriSpeech (other)
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# type: librispeech_asr
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# config: other
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# split: test
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# args:
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# language: en
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# metrics:
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# - name: Test WER
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# type: wer
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# value: 4.87
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# - task:
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# name: Automatic Speech Recognition
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# type: automatic-speech-recognition
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# dataset:
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# name: Vox Populi
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# type: facebook/voxpopuli
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# config: en
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# split: test
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# args:
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# language: en
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# metrics:
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# - name: Test WER
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# type: wer
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# value: 6.55
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# - task:
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# type: Automatic Speech Recognition
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# name: automatic-speech-recognition
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# dataset:
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# name: tedlium-v3
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# type: LIUM/tedlium
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# config: release1
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# split: test
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# args:
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# language: en
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# metrics:
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# - name: Test WER
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# type: wer
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# value: 3.97
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# - task:
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# type: Automatic Speech Recognition
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# name: automatic-speech-recognition
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# dataset:
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# name: SPGI Speech
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# type: kensho/spgispeech
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# config: test
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# split: test
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# args:
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# language: en
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# metrics:
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# - name: Test WER
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# type: wer
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# value: 2.33
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# new_version: okestro-ai-lab/SYMPHONY-ASR
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---
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* SYMPHONY is an designed for efficient and accurate speech-to-text transcription.
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