Instructions to use lilitket/aspram with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lilitket/aspram with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lilitket/aspram")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("lilitket/aspram") model = AutoModelForCTC.from_pretrained("lilitket/aspram", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from lilitket/aspram: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/lilitket/aspram/resolve/main/training_args.bin
- Command line
-
hf download hf://lilitket/aspram/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/lilitket/aspram/resolve/main/training_args.bin
2.99 kB
- Xet hash:
- 74469898e104c32c5b65f58e15fd6f25f52b77dbf848950b89bf4788a3c7028d
- Size of remote file:
- 2.99 kB
- SHA256:
- be70840fd0c7251daa5001e4d0767f2383599e35555bdd510db81a69854d1f92
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