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 spm_char.model from Mohsen21/ASR_MODEL: direct link, hf CLI and curl.
- Browser
- Download file 238 kB
-
https://huggingface.co/Mohsen21/ASR_MODEL/resolve/main/spm_char.model
- Command line
-
hf download hf://Mohsen21/ASR_MODEL/spm_char.model
-
curl -L -o spm_char.model https://huggingface.co/Mohsen21/ASR_MODEL/resolve/main/spm_char.model
238 kB
- Xet hash:
- 4dc82f60ce6b29d9a35208f0d2bdecdcf961d82cfe1d43b92d72506ab8d06829
- Size of remote file:
- 238 kB
- SHA256:
- 7fcc48f3e225f627b1641db410ceb0c8649bd2b0c982e150b03f8be3728ab560
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