Instructions to use Sjdan/m11_main with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sjdan/m11_main with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sjdan/m11_main")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Sjdan/m11_main") model = AutoModelForCTC.from_pretrained("Sjdan/m11_main", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Sjdan/m11_main: direct link, hf CLI and curl.
- Browser
- Download file 3 kB
-
https://huggingface.co/Sjdan/m11_main/resolve/main/training_args.bin
- Command line
-
hf download hf://Sjdan/m11_main/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Sjdan/m11_main/resolve/main/training_args.bin
3 kB
- Xet hash:
- 6930d3377d6107b2644f903be83a01523be1edd982537b853a6fbe0a9b042e1d
- Size of remote file:
- 3 kB
- SHA256:
- f2a8d898c40c963e6753c1d2459b36941e7321da874e9c4c7429a4c26ab78106
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