Grenmango/whisper-medium-en-spanish-accent
automatic-speech-recognition model by Grenmango
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From the publisher
Model card & documentation
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This model is a fine-tuned, standalone merged version of openai/whisper-medium.en specifically adapted for English speech spoken with a Spanish accent. It was trained on native Spanish speakers from the L2-ARCTIC speech corpus using Parameter-Efficient Fine-Tuning (LoRA rank=32, alpha=64), with the learned adapters permanently merged into the base model weights. Evaluated against the baseline whisper-medium.en and whisper-large-v3-turbo on clean held-out read speech…
Read the full model card ↗ · Preview checked 2026-10-30T13:10:27.176Z
Inside the original model card — Document outline
- Whisper Medium (English) - Fine-Tuned for Spanish-Accented English
- Benchmark & Performance Evaluation
- Training Data & Configuration
- Quickstart & Usage
- 1. Using pipeline (Recommended)
- 2. Direct Model & Processor Usage
- Multi-Accent & Personalized Collection
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
Grenmango/whisper-medium-en-spanish-accent is a automatic-speech-recognition model repository published by Grenmango on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- automatic-speech-recognition
- Library
- Not reported
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 763,856,896
- Architecture
- WhisperForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-17T06:03:48.000Z
- Last modified
- 2026-09-17T06:16:30.000Z
Compatibility and lineage
Reported languages: en
Reported base models: openai/whisper-medium.en
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-17T06:34:58.770Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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