Instructions to use khs1218/checkpoint-150 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khs1218/checkpoint-150 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="khs1218/checkpoint-150")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("khs1218/checkpoint-150") model = AutoModelForAudioClassification.from_pretrained("khs1218/checkpoint-150") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52d200bcfd83344fc554ace85f9a6c3891e8a75d556775880dadeceb88b41b34
- Size of remote file:
- 5.2 kB
- SHA256:
- f3986e3e0095f47cd3e6b656cfa11be010edda1f03be099ac55982d30ebafebb
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