Instructions to use NhutP/ViWhisper-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NhutP/ViWhisper-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NhutP/ViWhisper-medium")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NhutP/ViWhisper-medium") model = AutoModelForSpeechSeq2Seq.from_pretrained("NhutP/ViWhisper-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature78a8d6b
-
Update README.md
Verified signature0517f84
-
Update README.md
Verified signature34d46d3 -
Update README.md
Verified signature1890c43 -
Upload processor
Verified signature2ae452a -
Upload WhisperForConditionalGeneration
Verified signature4b87a05 -
Update README.md
Verified signaturebc666ab -
initial commit
Verified signatureb6175ef