Instructions to use behroz/sp_proj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use behroz/sp_proj with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="behroz/sp_proj")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("behroz/sp_proj") model = AutoModelForCTC.from_pretrained("behroz/sp_proj", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from behroz/sp_proj: direct link, hf CLI and curl.
- Browser
- Download file 2.8 kB
-
https://huggingface.co/behroz/sp_proj/resolve/main/training_args.bin
- Command line
-
hf download hf://behroz/sp_proj/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/behroz/sp_proj/resolve/main/training_args.bin
2.8 kB
- Xet hash:
- 0fae2ee72facfffb5454e448cae06294a76361a85ae1e91def50df7bad21e97e
- Size of remote file:
- 2.8 kB
- SHA256:
- 133f764bf3994b17c0920a4ded381a4f7c7d1926f484852f3cb663913f8add23
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