Audio Classification
Transformers
ONNX
NeMo
Safetensors
anuvani_lid
audio
speech
language-identification
spoken-language-id
lid
indic
conformer
custom_code
Instructions to use CIIL/Anuvani-LID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CIIL/Anuvani-LID with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="CIIL/Anuvani-LID", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForAudioClassification model = AutoModelForAudioClassification.from_pretrained("CIIL/Anuvani-LID", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download notebook.ipynb from CIIL/Anuvani-LID: direct link, hf CLI and curl.
- Browser
- Download file 8.03 kB
-
https://huggingface.co/CIIL/Anuvani-LID/resolve/main/notebook.ipynb
- Command line
-
hf download hf://CIIL/Anuvani-LID/notebook.ipynb
-
curl -L -o notebook.ipynb https://huggingface.co/CIIL/Anuvani-LID/resolve/main/notebook.ipynb
8.03 kB