Downloads · 30 days
19
2% of all-time downloads
acft-whisper-base
futo-org/acft-whisper-base
acft-whisper-base is a automatic speech recognition model from futo-org. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
This is in a fine-tuned series of OpenAI's Whisper models.
All-time downloads
764
Public
Parameters
99.1M
397 MB on disk
Likes
2
Public
Repo makeup
Click a slice to open those files.
.safetensors397 MB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Jun 25, 2024
- Updated
- Jun 25, 2024
- SHA
- fdd4cc9a
Model card
From the Hugging Face model README
Model Card
Model Description
This is in a fine-tuned series of OpenAI's Whisper models.
The models have been finetuned for dynamic audio context robustness, allowing shorter audio contexts for better performance with short audio inputs. The method is detailed in our GitHub repo.
- Developed by: FUTO
- License: Apache-2.0
- Finetuned from model: OpenAI Whisper
Uses
These models are not useful by themselves under default Whisper runtime configurations.
The easiest way to test differing audio context is to use whisper.cpp with the --audio-context parameter. We provide converted whisper.cpp models in our GitHub README.
Other Information
More information can be found in our GitHub README.
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Jun 25, 2024
- Updated
- Jun 25, 2024