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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 120f808a82f4c1ab9601a69db97023ef5ad23ac9b991e99cf65fc2bb09a2a313
- Size of remote file:
- 438 MB
- SHA256:
- a316a06183fc77f742287a5ef65925c935d70fbf40bee841991c389eb21e5c58
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