Instructions to use Sebilay/niko-ai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- pyannote.audio
How to use Sebilay/niko-ai with pyannote.audio:
from pyannote.audio import Model, Inference model = Model.from_pretrained("Sebilay/niko-ai") inference = Inference(model) # inference on the whole file inference("file.wav") # inference on an excerpt from pyannote.core import Segment excerpt = Segment(start=2.0, end=5.0) inference.crop("file.wav", excerpt) - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| datasets: | |
| - lmsys/lmsys-chat-1m | |
| language: | |
| - tr | |
| metrics: | |
| - character | |
| base_model: | |
| - meta-llama/Meta-Llama-3-8B-Instruct | |
| new_version: meta-llama/Llama-3.1-8B-Instruct | |
| pipeline_tag: text-classification | |
| library_name: pyannote-audio | |