Instructions to use hiwden00/validateCode-disfonia_tinyen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hiwden00/validateCode-disfonia_tinyen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hiwden00/validateCode-disfonia_tinyen")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hiwden00/validateCode-disfonia_tinyen") model = AutoModelForSpeechSeq2Seq.from_pretrained("hiwden00/validateCode-disfonia_tinyen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hiwden00/validateCode-disfonia_tinyen: direct link, hf CLI and curl.
- Browser
- Download file 4.41 kB
-
https://huggingface.co/hiwden00/validateCode-disfonia_tinyen/resolve/main/training_args.bin
- Command line
-
hf download hf://hiwden00/validateCode-disfonia_tinyen/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hiwden00/validateCode-disfonia_tinyen/resolve/main/training_args.bin
4.41 kB
- Xet hash:
- 9023a0c5bb5fa99ad445d5d78b74717a0fa7347630a78d794d6cdcf9a1252229
- Size of remote file:
- 4.41 kB
- SHA256:
- 3c11a89d9568501f3432502446040d2f3ec9cef6320829d5a2ab5f46f8cea95e
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