Instructions to use Mohsen21/ESP_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mohsen21/ESP_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Mohsen21/ESP_Model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Mohsen21/ESP_Model") model = AutoModelForTextToSpectrogram.from_pretrained("Mohsen21/ESP_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Mohsen21/ESP_Model: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/Mohsen21/ESP_Model/resolve/main/training_args.bin
- Command line
-
hf download hf://Mohsen21/ESP_Model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Mohsen21/ESP_Model/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 71bf2c16e3519006ca594fb7bd97d77b9653cae5ecb515c85c0754f6c9ea544c
- Size of remote file:
- 5.37 kB
- SHA256:
- 9bb89b6f40ee6762b33ab2f58fef706813cc07ece725af21d7a240cf72cffb5b
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