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/1445bba986b6d730dc39686796a3fe27cee4c9ea/pytorch_model.bin
- Command line
-
hf download hf://joey234/whisper-small-vi@1445bba986b6d730dc39686796a3fe27cee4c9ea/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/joey234/whisper-small-vi/resolve/1445bba986b6d730dc39686796a3fe27cee4c9ea/pytorch_model.bin
967 MB
- Xet hash:
- ba207eddc7895d035f3b21028d551b87a083563bc784f450f9ae36cf0b2c1426
- Size of remote file:
- 967 MB
- SHA256:
- 59c7882b4194429242a5d3cc566e3f820d711c25e7a555c19fb635b7643723f7
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