Instructions to use Sjdan/finetuning12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sjdan/finetuning12 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sjdan/finetuning12")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Sjdan/finetuning12") model = AutoModelForCTC.from_pretrained("Sjdan/finetuning12", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Sjdan/finetuning12: direct link, hf CLI and curl.
- Browser
- Download file 378 MB
-
https://huggingface.co/Sjdan/finetuning12/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Sjdan/finetuning12/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Sjdan/finetuning12/resolve/main/pytorch_model.bin
378 MB
- Xet hash:
- fc2d0ce4d08e593f53a1efc404bac8ae2cca9f3c2d48f58588860c869d200333
- Size of remote file:
- 378 MB
- SHA256:
- 7cc07bfbd8251f877a4da2532ec5f51add2d0b877539cb4104bdec55793a94f5
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