Automatic Speech Recognition
Transformers
Safetensors
whisper
quantized
gptq
w4a8
4-bit precision
llmcompressor
vllm
audio
compressed-tensors
8-bit precision
Instructions to use Arm/whisper-large-v3-quantized.w4a8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arm/whisper-large-v3-quantized.w4a8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Arm/whisper-large-v3-quantized.w4a8")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Arm/whisper-large-v3-quantized.w4a8") model = AutoModelForSpeechSeq2Seq.from_pretrained("Arm/whisper-large-v3-quantized.w4a8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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