Instructions to use devkyle/base-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devkyle/base-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="devkyle/base-v2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("devkyle/base-v2") model = AutoModelForSpeechSeq2Seq.from_pretrained("devkyle/base-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2654a5ee2adf677089c0b64aa2be5f20868a9d52577cafb5befdd347dda907de
- Size of remote file:
- 5.5 kB
- SHA256:
- 82aeac8955920584efb2087541d986aa8051d6f728568bbdc660cb02b1906685
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