Instructions to use HamdanXI/Wav2vec2_Single_Utt_Test_Two with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HamdanXI/Wav2vec2_Single_Utt_Test_Two with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="HamdanXI/Wav2vec2_Single_Utt_Test_Two")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("HamdanXI/Wav2vec2_Single_Utt_Test_Two") model = AutoModelForCTC.from_pretrained("HamdanXI/Wav2vec2_Single_Utt_Test_Two", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
5a287c0 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8c22a409c3f125a5edb83cac0c877b6d15e03e9c161eda27427b21f3ced5188e
size 5841
|