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
# 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")Quick Links
No model card
- Downloads last month
- 2
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="blackhole33/whisper-aisha-uz.v2")