Instructions to use Mohsen21/ASR_MODEL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mohsen21/ASR_MODEL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Mohsen21/ASR_MODEL")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Mohsen21/ASR_MODEL") model = AutoModelForTextToSpectrogram.from_pretrained("Mohsen21/ASR_MODEL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Mohsen21/ASR_MODEL: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/Mohsen21/ASR_MODEL/resolve/main/training_args.bin
- Command line
-
hf download hf://Mohsen21/ASR_MODEL/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Mohsen21/ASR_MODEL/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 6255853f847610c31269b24c135e77630433931f9bce7efc6b44bcc69e4a9db4
- Size of remote file:
- 5.37 kB
- SHA256:
- 034473467043c1d2999217446a0c408d038d09a1b609012e890bf8a96751772b
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