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:
- af8e365b186f2e7408f5fabeff2663483026870309ab4e49c4db06c2811351c9
- Size of remote file:
- 5.5 kB
- SHA256:
- e9a85df8ded0f835edb3749ab8e3acb028014773ace7f0818b2d69815473ddeb
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