Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Vietnamese
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use joey234/whisper-medium-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joey234/whisper-medium-vi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="joey234/whisper-medium-vi")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("joey234/whisper-medium-vi") model = AutoModelForSpeechSeq2Seq.from_pretrained("joey234/whisper-medium-vi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from joey234/whisper-medium-vi: direct link, hf CLI and curl.
- Browser
- Download file 3.06 GB
-
https://huggingface.co/joey234/whisper-medium-vi/resolve/378e049b5b3bbe7371532bb4a531583a4572f4b5/pytorch_model.bin
- Command line
-
hf download hf://joey234/whisper-medium-vi@378e049b5b3bbe7371532bb4a531583a4572f4b5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/joey234/whisper-medium-vi/resolve/378e049b5b3bbe7371532bb4a531583a4572f4b5/pytorch_model.bin
3.06 GB
- Xet hash:
- 13a7cfc5b1e9148d1a73a92b9a257969027b02c337ff36bd8a032647b15e0f6a
- Size of remote file:
- 3.06 GB
- SHA256:
- 052d4d119f90d077f25eb834eb92b705c3b93048c1864f98d253e557d3804cc4
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