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 pytorch_model.bin from Arunodhayan/German_ASR: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/Arunodhayan/German_ASR/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Arunodhayan/German_ASR/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Arunodhayan/German_ASR/resolve/main/pytorch_model.bin
1.26 GB
- Xet hash:
- 3733b9e17f6136cf16539f4c525aa1a53373a86b5e67db920d3e05ae76c33578
- Size of remote file:
- 1.26 GB
- SHA256:
- cf3f13eea4a4448951a35a7c0ec80a971cde6c5fa85babd83eb9317a775f113f
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