Instructions to use Sjdan/m16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sjdan/m16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sjdan/m16")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Sjdan/m16") model = AutoModelForCTC.from_pretrained("Sjdan/m16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Sjdan/m16: direct link, hf CLI and curl.
- Browser
- Download file 3 kB
-
https://huggingface.co/Sjdan/m16/resolve/main/training_args.bin
- Command line
-
hf download hf://Sjdan/m16/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Sjdan/m16/resolve/main/training_args.bin
3 kB
- Xet hash:
- 70a0013ada4d68835620e8d0a1b4297a1e4c198bfa56c83e4eb98794638ffe2e
- Size of remote file:
- 3 kB
- SHA256:
- 1b389c50e53c5b007c252826de074652c07c3ef188a695f3befa6d0bf6dda108
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