Instructions to use Anujgr8/speecht5_code_switch_intra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anujgr8/speecht5_code_switch_intra with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Anujgr8/speecht5_code_switch_intra")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Anujgr8/speecht5_code_switch_intra") model = AutoModelForTextToSpectrogram.from_pretrained("Anujgr8/speecht5_code_switch_intra", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Anujgr8/speecht5_code_switch_intra: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/Anujgr8/speecht5_code_switch_intra/resolve/main/training_args.bin
- Command line
-
hf download hf://Anujgr8/speecht5_code_switch_intra/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Anujgr8/speecht5_code_switch_intra/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- a4a325eb93ea1e269d8bb129f5941c90565c78d45d3e821241b30797a8c8e29e
- Size of remote file:
- 5.5 kB
- SHA256:
- 2c65ffa6eca8616fd8ebe8a69984d01b0e58fc29216c42487c30ebae15fe3bd1
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