Instructions to use woodwardmw/phase2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use woodwardmw/phase2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="woodwardmw/phase2")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("woodwardmw/phase2") model = AutoModelForTextToSpectrogram.from_pretrained("woodwardmw/phase2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from woodwardmw/phase2: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/woodwardmw/phase2/resolve/main/training_args.bin
- Command line
-
hf download hf://woodwardmw/phase2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/woodwardmw/phase2/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- efa87882fab0d357c344f49249b27a4cf7545afa5316428dc8ad59147dc75289
- Size of remote file:
- 5.91 kB
- SHA256:
- 3c7381598f7e6f2ff4a8a20079e24f05314516179babef46cd599afa7706d73f
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