Instructions to use devkyle/base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devkyle/base-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="devkyle/base-v1")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("devkyle/base-v1") model = AutoModelForSpeechSeq2Seq.from_pretrained("devkyle/base-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e600284db4af1089d53b5fe856bed5940b4715baa1708faff1dcbcbbc3f80297
- Size of remote file:
- 290 MB
- SHA256:
- 0e7090a2d6a95b673ba67e742f9ecbf6fd038e58041e1b8aaec9001c30a44bf7
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