Instructions to use mohitsha/whisper-tiny-static-shape-quantized-SL-448 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mohitsha/whisper-tiny-static-shape-quantized-SL-448 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mohitsha/whisper-tiny-static-shape-quantized-SL-448")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mohitsha/whisper-tiny-static-shape-quantized-SL-448") model = AutoModelForSpeechSeq2Seq.from_pretrained("mohitsha/whisper-tiny-static-shape-quantized-SL-448", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
d822bfb | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:beb38ca649c013239e673b86fa9630bd508bbb22ea30af9929b05cd4007bcff0
size 94025161
|