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 pytorch_model.bin from Samy09/test_sd2: direct link, hf CLI and curl.
- Browser
- Download file 378 MB
-
https://huggingface.co/Samy09/test_sd2/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://Samy09/test_sd2@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Samy09/test_sd2/resolve/refs%2Fpr%2F1/pytorch_model.bin
378 MB
- Xet hash:
- a3017556134babd650c0b16895ffcf3016e039c9d70af640cc02579a341225f3
- Size of remote file:
- 378 MB
- SHA256:
- a3d96946b236dc93c736fadb690383aca4aab6598529f374e38aeaff4ab90c60
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