Instructions to use spellingdragon/whisper-large-v3-handler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use spellingdragon/whisper-large-v3-handler with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="spellingdragon/whisper-large-v3-handler")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("spellingdragon/whisper-large-v3-handler") model = AutoModelForSpeechSeq2Seq.from_pretrained("spellingdragon/whisper-large-v3-handler", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update requirements.txt
Verified signaturedb1a9e2
-
Update handler.py
Verified signature28dc6d0 -
Update requirements.txt
Verified signatureec2c005 -
Update requirements.txt
Verified signature997395f
-
Update requirements.txt
66af894 -
Update handler.py
b0b2ca0 -
Update requirements.txt
9c0d417 -
Update handler.py
3119948 -
Create requirements.txt
efbf3eb -
Update handler.py
dd17b27 -
Update handler.py
e9204c7 -
Update handler.py
e8d6e13 -
Update handler.py
67b6099 -
Update handler.py
acdd9da -
Update handler.py
171330f -
Update handler.py
b053893
-
Update handler.py
ddcc2ec -
Update handler.py
4f9c1ac -
Update handler.py
3385f5a -
Update handler.py (#1)
- Update handler.py (6c44ec0bc9adb0d5054c4e8af30dfb24bd193d16)1c3fc18 -
Update handler.py
a95b4c2 -
Update handler.py
28b840e -
Update handler.py
d5325ba -
Update handler.py
ff458a6 -
Update handler.py
60457b4 -
Create handler.py
create handler694416b -
Duplicate from openai/whisper-large-v3
Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>90adbf4