Instructions to use fitlemon/whisper-small-lang-id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fitlemon/whisper-small-lang-id with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="fitlemon/whisper-small-lang-id")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("fitlemon/whisper-small-lang-id") model = AutoModelForAudioClassification.from_pretrained("fitlemon/whisper-small-lang-id", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 10000
Browse files
model.safetensors
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runs/Mar07_02-00-35_fitlemonPC/events.out.tfevents.1709758836.fitlemonPC.4496.0
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