Instructions to use Gabtni/model-wav2vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gabtni/model-wav2vec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Gabtni/model-wav2vec")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Gabtni/model-wav2vec") model = AutoModelForCTC.from_pretrained("Gabtni/model-wav2vec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
f880470 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:76101f2f49c8047c0d5fa71ebfb48495577f52c9b1d37091c1f92b5e88ab8374
size 377658785
|