Instructions to use bkh6722/bach-arb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bkh6722/bach-arb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bkh6722/bach-arb")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("bkh6722/bach-arb") model = AutoModelForCTC.from_pretrained("bkh6722/bach-arb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from bkh6722/bach-arb: direct link, hf CLI and curl.
- Browser
- Download file 2.8 kB
-
https://huggingface.co/bkh6722/bach-arb/resolve/main/training_args.bin
- Command line
-
hf download hf://bkh6722/bach-arb/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/bkh6722/bach-arb/resolve/main/training_args.bin
2.8 kB
- Xet hash:
- b0269b8cfca73225f35047058a35c15b79600e40e7ae8f70c031b61212d25ecb
- Size of remote file:
- 2.8 kB
- SHA256:
- ef4328cc21c59f95e099af016248146e2421b3db2bb6287a3c2f6de49b0e8f70
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