Instructions to use dearyoungjo/base_komixv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dearyoungjo/base_komixv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="dearyoungjo/base_komixv2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("dearyoungjo/base_komixv2") model = AutoModelForSpeechSeq2Seq.from_pretrained("dearyoungjo/base_komixv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Properly re-add flax_model.msgpack with fresh LFS pointer
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Merge branch 'main' of https://huggingface.co/dearyoungjo/base_komixv2
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Update README.md
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Upload WhisperForConditionalGeneration
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