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")# pip install -U transformers accelerate # 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 pytorch_model.bin from joey234/whisper-small-vi: direct link, hf CLI and curl.
- Browser
- Download file 967 MB
-
https://huggingface.co/joey234/whisper-small-vi/resolve/699cfbd2ce6f94ffc0980593da9782ff958da3c3/pytorch_model.bin
- Command line
-
hf download hf://joey234/whisper-small-vi@699cfbd2ce6f94ffc0980593da9782ff958da3c3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/joey234/whisper-small-vi/resolve/699cfbd2ce6f94ffc0980593da9782ff958da3c3/pytorch_model.bin
967 MB
- Xet hash:
- 0accee85964c6f2b740d8c492a4ba690e560bbf87b0ae028e94547e6d10db8fc
- Size of remote file:
- 967 MB
- SHA256:
- b11410380e551b513680d26be8c217db45dab4c84b26ef8c2190ee109daed9de
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