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")# 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
Ctrl+K
- runs
- wav2vec-vlbg-21
- wav2vec-vlbg-21D
- wav2vec-vlbg-21DL
- wav2vec-vlbg-21L
- wav2vec-vlbg-DL
- wav2vec-vlbg-L
- xlsr-vlbg-21
- xlsr-vlbg-21D
- xlsr-vlbg-21DL-attnDrp0.0
- xlsr-vlbg-21DL
- xlsr-vlbg-21L
- xlsr-vlbg-DL
- xlsr-vlbg-L
- xlsrDE-vlbg-21
- xlsrDE-vlbg-21D
- xlsrDE-vlbg-21DL
- xlsrDE-vlbg-21L
- xlsrDE-vlbg-DL
- xlsrDE-vlbg-L
- 1.17 kB
- 13 Bytes
- 2.29 kB
- 23 Bytes
- 1.69 kB
- 214 Bytes
- 378 MB xet
- 309 Bytes
- 260 Bytes
- 2.8 kB xet
- 241 Bytes