Instructions to use blackhole33/whisper-aisha-uz.v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use blackhole33/whisper-aisha-uz.v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="blackhole33/whisper-aisha-uz.v2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("blackhole33/whisper-aisha-uz.v2") model = AutoModelForSpeechSeq2Seq.from_pretrained("blackhole33/whisper-aisha-uz.v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 119dacb
Training in progress, step 2900
Browse files
pytorch_model.bin
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runs/Jul08_14-54-46_AI/events.out.tfevents.1720432497.AI.38452.0
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