Audio Classification
Transformers
Safetensors
English
nocturne_effnet
bioacoustics
audio-spectrogram-transformer
ecology
biodiversity
species-identification
non-bird
orthoptera
cicadidae
passive-acoustic-monitoring
nocturnal
conservation
agriculture
insect-monitoring
amphibian
Instructions to use stratus-labs/nocturne-v1-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stratus-labs/nocturne-v1-mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="stratus-labs/nocturne-v1-mini")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("stratus-labs/nocturne-v1-mini", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Card: mini is now served as the `mini` route on the public endpoint; add three-route comparison incl. latency and unseen-site diagnostic
#1
by stratusvale - opened
No description provided.
Applied directly to main once the org-scoped token was recovered. Closing this PR.
stratusvale changed pull request status to closed