Instructions to use Sjdan/f03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sjdan/f03 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sjdan/f03")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Sjdan/f03") model = AutoModelForCTC.from_pretrained("Sjdan/f03", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Sjdan/f03: direct link, hf CLI and curl.
- Browser
- Download file 3 kB
-
https://huggingface.co/Sjdan/f03/resolve/main/training_args.bin
- Command line
-
hf download hf://Sjdan/f03/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Sjdan/f03/resolve/main/training_args.bin
3 kB
- Xet hash:
- ee4d9735228167b05dcd2e9b1e3c0584f51fd4c9def0c7e1f825b8581e9b4417
- Size of remote file:
- 3 kB
- SHA256:
- 3693251b3cf5efd72f26c75f81ca852b9754d32eb35f2a0050b8f2303a545c4c
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