Instructions to use vinai/PhoWhisper-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vinai/PhoWhisper-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="vinai/PhoWhisper-small")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("vinai/PhoWhisper-small") model = AutoModelForSpeechSeq2Seq.from_pretrained("vinai/PhoWhisper-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from vinai/PhoWhisper-small: direct link, hf CLI and curl.
- Browser
- Download file 967 MB
-
https://huggingface.co/vinai/PhoWhisper-small/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://vinai/PhoWhisper-small/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/vinai/PhoWhisper-small/resolve/main/pytorch_model.bin
967 MB
- Xet hash:
- 0d8ced2fc964cf38e3fc28caf2a2df1a18aee97b71a4de980619260fcb8ee3be
- Size of remote file:
- 967 MB
- SHA256:
- 9ec6f07c5bd321fc8f477cf778c43c3fd94b0e33a9f20283fc61cc6d22cbfded
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