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whisper-tiny-llm-lingo
Trelis/whisper-tiny-llm-lingo
whisper-tiny-llm-lingo is a automatic speech recognition model from Trelis. Use it when you need speech turned into text.
Fine-tuned Whisper model based on openai/whisper-tiny.
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2.8 GB on disk
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Repo makeup
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At a glance
- Task
- Automatic Speech Recognition
- Model type
- whisper
- Access
- Public
- Created
- Dec 26, 2025
- Updated
- Jan 14, 2026
- SHA
- d5308f15
Base models
Model card
From the Hugging Face model README
Whisper Tiny Llm Lingo
Fine-tuned Whisper model based on openai/whisper-tiny.
Training Results
| Metric | Base Model | Fine-tuned |
|---|---|---|
| WER | 107.85% | 34.30% |
Improvement: 73.55% WER reduction (lower is better)
Training Details
- Base Model: openai/whisper-tiny
- Training Dataset: Trelis/llm-lingo
- Train Loss: 2.5791
- Training Time: 19 seconds
Inference
from transformers import pipeline
asr = pipeline("automatic-speech-recognition", model="Trelis/whisper-tiny-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
- Type
- whisper
- Languages
- en
- Created
- Dec 26, 2025
- Updated
- Jan 14, 2026