Instructions to use phucd/vi-better-old with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phucd/vi-better-old with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="phucd/vi-better-old")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("phucd/vi-better-old") model = AutoModelForSpeechSeq2Seq.from_pretrained("phucd/vi-better-old", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from phucd/vi-better-old: direct link, hf CLI and curl.
- Browser
- Download file 4.4 kB
-
https://huggingface.co/phucd/vi-better-old/resolve/main/training_args.bin
- Command line
-
hf download hf://phucd/vi-better-old/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/phucd/vi-better-old/resolve/main/training_args.bin
4.4 kB
- Xet hash:
- b3df95bb8e255917c618b53de01f3a54e6fe690d0fd3367000503dd50de0896b
- Size of remote file:
- 4.4 kB
- SHA256:
- 242590455fd52143c37cc0b0c0fbfacf868d1672d66668b41ecb286f07b8f86b
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