Instructions to use mariammohamed00/speecht5_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mariammohamed00/speecht5_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="mariammohamed00/speecht5_finetuned")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("mariammohamed00/speecht5_finetuned") model = AutoModelForTextToSpectrogram.from_pretrained("mariammohamed00/speecht5_finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mariammohamed00/speecht5_finetuned: direct link, hf CLI and curl.
- Browser
- Download file 5.33 kB
-
https://huggingface.co/mariammohamed00/speecht5_finetuned/resolve/main/training_args.bin
- Command line
-
hf download hf://mariammohamed00/speecht5_finetuned/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mariammohamed00/speecht5_finetuned/resolve/main/training_args.bin
5.33 kB
- Xet hash:
- 07a58021d52ceb1a22ce20f6413c73862b1b3a21a5c97b305af7616b99735e93
- Size of remote file:
- 5.33 kB
- SHA256:
- 1b6e7ce2ee919dae6391ba1c8df3a39660aba774f3139a74b20003e4c30a63be
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