Instructions to use Arunodhayan/German_ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arunodhayan/German_ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Arunodhayan/German_ASR")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Arunodhayan/German_ASR") model = AutoModelForCTC.from_pretrained("Arunodhayan/German_ASR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Arunodhayan/German_ASR: direct link, hf CLI and curl.
- Browser
- Download file 2.86 kB
-
https://huggingface.co/Arunodhayan/German_ASR/resolve/main/training_args.bin
- Command line
-
hf download hf://Arunodhayan/German_ASR/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Arunodhayan/German_ASR/resolve/main/training_args.bin
2.86 kB
- Xet hash:
- 19e783b55a2b6ad9b4cc40618feccf70c80131c314875d3737988fddfbadf896
- Size of remote file:
- 2.86 kB
- SHA256:
- d42f59d7bf03de53038567321544cbe1267f915debe0fa3b81050b248c1abed2
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