Feature Extraction
Transformers
Safetensors
finelap
audio grounding
audio-text retrieval
sound-event-detection
multimodal
clap
custom_code
Instructions to use AndreasXi/FineLAP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AndreasXi/FineLAP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AndreasXi/FineLAP", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AndreasXi/FineLAP", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c8f37cfa667a79335fea44475c5d498efd844c7b6ee286b12ce2806b46ead32
- Size of remote file:
- 562 kB
- SHA256:
- 71ea85026e6487ee3839cd0b1185c4e95d165a8d21f2c7a7b288b13d625dc5a1
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