Automatic Speech Recognition
Transformers
Safetensors
English
whisper
text-generation-inference
unsloth
Instructions to use cortex-ai-nova/NOVA-Oracle-4.6-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cortex-ai-nova/NOVA-Oracle-4.6-4bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="cortex-ai-nova/NOVA-Oracle-4.6-4bit")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("cortex-ai-nova/NOVA-Oracle-4.6-4bit") model = AutoModelForSpeechSeq2Seq.from_pretrained("cortex-ai-nova/NOVA-Oracle-4.6-4bit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
processor = AutoProcessor.from_pretrained("cortex-ai-nova/NOVA-Oracle-4.6-4bit")
model = AutoModelForSpeechSeq2Seq.from_pretrained("cortex-ai-nova/NOVA-Oracle-4.6-4bit", device_map="auto")Quick Links
Uploaded finetuned model
- Developed by: cortex-ai-nova
- License: apache-2.0
- Finetuned from model : unsloth/whisper-large-v3
This whisper model was trained 2x faster with Unsloth and Huggingface's TRL library.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="cortex-ai-nova/NOVA-Oracle-4.6-4bit")