Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Vietnamese
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use joey234/whisper-small-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joey234/whisper-small-vi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="joey234/whisper-small-vi")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("joey234/whisper-small-vi") model = AutoModelForSpeechSeq2Seq.from_pretrained("joey234/whisper-small-vi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from joey234/whisper-small-vi: direct link, hf CLI and curl.
- Browser
- Download file 967 MB
-
https://huggingface.co/joey234/whisper-small-vi/resolve/main/model.safetensors
- Command line
-
hf download hf://joey234/whisper-small-vi/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/joey234/whisper-small-vi/resolve/main/model.safetensors
967 MB
- Xet hash:
- 856e16a9ceb9f9051ab80675d026a855aaaae0233fdcdda3a64dddf914f889a6
- Size of remote file:
- 967 MB
- SHA256:
- b8243d24a47286677303575c916e39e5508f50f645da659a9152f13abac1bea9
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