Instructions to use Phuoc/asr_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Phuoc/asr_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Phuoc/asr_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Phuoc/asr_model") model = AutoModelForCTC.from_pretrained("Phuoc/asr_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Phuoc/asr_model: direct link, hf CLI and curl.
- Browser
- Download file 378 MB
-
https://huggingface.co/Phuoc/asr_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Phuoc/asr_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Phuoc/asr_model/resolve/main/pytorch_model.bin
378 MB
- Xet hash:
- 3f69ce2374079cf49061a532bbe5dd5970d21cdf72737260cf94c46df9fa35e0
- Size of remote file:
- 378 MB
- SHA256:
- 2529ffc057c90b3d576ea109999ea49f3bab9691f7a93297a91d69ce8c981f84
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