Instructions to use Simih/pidgin_asr_audio_llm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Simih/pidgin_asr_audio_llm with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Simih/pidgin_asr_audio_llm") model = AutoModelForMultimodalLM.from_pretrained("Simih/pidgin_asr_audio_llm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b750cf1f7f5beb246256078af3cb034f5ffdde94dfabe64ee0bad550020fbe7
- Size of remote file:
- 12 MB
- SHA256:
- 0a6089cf7e5d280c1d744c4569a24fd5dc74d89952afea450df61f0aab986413
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