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whisper-small-llm-lingo
Trelis/whisper-small-llm-lingo
whisper-small-llm-lingo is a automatic speech recognition model from Trelis. Use it when you need speech turned into text. It is set up for transformers.
Fine-tuned Whisper model based on openai/whisper-small.
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242M
7.9 GB on disk
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Repo makeup
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.safetensors967 MB · 99%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- whisper
- Access
- Public
- Created
- Jan 17, 2024
- Updated
- Dec 28, 2025
- SHA
- 7faf5e88
Base models
Model card
From the Hugging Face model README
Whisper Small Llm Lingo
Fine-tuned Whisper model based on openai/whisper-small.
Training Results
| Metric | Base Model | Fine-tuned |
|---|---|---|
| WER | 20.66% | 12.40% |
Improvement: 8.26% WER reduction (lower is better)
Training Details
- Base Model: openai/whisper-small
- Training Dataset: Trelis/llm-lingo
- Train Loss: 0.8748
- Training Time: 1.1 minutes
Training Plot
Inference
from transformers import pipeline
asr = pipeline("automatic-speech-recognition", model="Trelis/whisper-small-llm-lingo")
result = asr("path/to/audio.wav")
print(result["text"])
Training Logs
Full training logs are available in training_log.txt.
Fine-tuned using Trelis Studio
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- Languages
- en
- Created
- Jan 17, 2024
- Updated
- Dec 28, 2025