Instructions to use Samy09/test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Samy09/test2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Samy09/test2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Samy09/test2") model = AutoModelForCTC.from_pretrained("Samy09/test2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Samy09/test2: direct link, hf CLI and curl.
- Browser
- Download file 378 MB
-
https://huggingface.co/Samy09/test2/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://Samy09/test2@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Samy09/test2/resolve/refs%2Fpr%2F1/pytorch_model.bin
378 MB
- Xet hash:
- 61bd1f1073d1ea70f1dd2805a9eb5ce6475fcbaad4ca773fad71f7cb29dc383f
- Size of remote file:
- 378 MB
- SHA256:
- d97437253feef994e8a66006fd970c6c40d9da427ff196204ca4150c72e29a83
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