Instructions to use Samy09/test_sd2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Samy09/test_sd2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Samy09/test_sd2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Samy09/test_sd2") model = AutoModelForCTC.from_pretrained("Samy09/test_sd2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Samy09/test_sd2: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/Samy09/test_sd2/resolve/main/training_args.bin
- Command line
-
hf download hf://Samy09/test_sd2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Samy09/test_sd2/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- dc54fbddae58828a72f1b861a507adc31760815940e6678d26dfa89a16c9d389
- Size of remote file:
- 3.58 kB
- SHA256:
- d1cbb9d707811c0b395852bcfd2aeec87d9bd550eb5f93c4cf6f68f793b9728c
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