Instructions to use laion/larger_clap_general with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use laion/larger_clap_general with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="laion/larger_clap_general")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("laion/larger_clap_general") model = AutoModel.from_pretrained("laion/larger_clap_general", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09ed8c9eac1ab6917e396b0f07114ae61f7d03d12faf4567680d317539d644f5
- Size of remote file:
- 776 MB
- SHA256:
- 314eb00cce6ad68d25237b8446b659ccdb136ed4672c1bca470f142f72455026
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