Instructions to use Sjdan/f03_main with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sjdan/f03_main with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sjdan/f03_main")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Sjdan/f03_main") model = AutoModelForCTC.from_pretrained("Sjdan/f03_main", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Sjdan/f03_main: direct link, hf CLI and curl.
- Browser
- Download file 3 kB
-
https://huggingface.co/Sjdan/f03_main/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://Sjdan/f03_main@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Sjdan/f03_main/resolve/refs%2Fpr%2F1/training_args.bin
3 kB
- Xet hash:
- 8091f414026201694fcfbce1e03def8ddd976d5f83455597be7a6ca22b23362c
- Size of remote file:
- 3 kB
- SHA256:
- 55d9a96db7901d5a50065fd87d75725c74c4d6e7a39d82f8e5524ee6155b1227
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