Instructions to use BrunoHays/whisper-large-v3-O2-fp16-gpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BrunoHays/whisper-large-v3-O2-fp16-gpu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="BrunoHays/whisper-large-v3-O2-fp16-gpu")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("BrunoHays/whisper-large-v3-O2-fp16-gpu") model = AutoModelForSpeechSeq2Seq.from_pretrained("BrunoHays/whisper-large-v3-O2-fp16-gpu") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
processor = AutoProcessor.from_pretrained("BrunoHays/whisper-large-v3-O2-fp16-gpu")
model = AutoModelForSpeechSeq2Seq.from_pretrained("BrunoHays/whisper-large-v3-O2-fp16-gpu")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="BrunoHays/whisper-large-v3-O2-fp16-gpu")