Instructions to use devkyle/base-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devkyle/base-v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="devkyle/base-v4")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("devkyle/base-v4") model = AutoModelForSpeechSeq2Seq.from_pretrained("devkyle/base-v4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01cd455b141c12fb06219e4538afb42a3dfa37448376415cf1157e1c2aa6f560
- Size of remote file:
- 5.56 kB
- SHA256:
- b0d6682ed7e618b3c872ff0484b3286c786cd68220ee9404886cfc075357b65a
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