Unhallucinated Faster Whisper
Install the package
pip install unhallucinated-faster-whisper
Usage (Same as Faster Whisper)
from faster_whisper import WhisperModel
model_size = "turbo"
model = WhisperModel(model_size, device="cpu")
Enabling the Unhallucination Feature
Simply pass unhallucinated=True when transcribing
segments, info = model.transcribe("voice.mp3", unhallucinated=True)
Model Compatibility
Compatible with all Whisper models.
1 maintainer
Metadata
1 maintainer
Release files for unhallucinated-faster-whisper 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| unhallucinated_faster_whisper-0.0.3.tar.gz | 1.2 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| unhallucinated_faster_whisper-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.4 MB
Release files / unhallucinated_faster_whisper-0.0.3.tar.gz
| Download URL | unhallucinated_faster_whisper-0.0.3.tar.gz |
|---|---|
| Size | 1.2 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.0.1 CPython/3.12.3
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Release files / unhallucinated_faster_whisper-0.0.3-py3-none-any.whl
| Download URL | unhallucinated_faster_whisper-0.0.3-py3-none-any.whl |
|---|---|
| Size | 1.2 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.3
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