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
Download training_args.bin from HamdanXI/Wav2vec2_Single_Utt_Test_Two: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/HamdanXI/Wav2vec2_Single_Utt_Test_Two/resolve/main/training_args.bin
- Command line
-
hf download hf://HamdanXI/Wav2vec2_Single_Utt_Test_Two/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/HamdanXI/Wav2vec2_Single_Utt_Test_Two/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- a5422922605e24eaa71a0d658e0dcef94554454376f82eea84edbecda58dc319
- Size of remote file:
- 5.84 kB
- SHA256:
- 8c22a409c3f125a5edb83cac0c877b6d15e03e9c161eda27427b21f3ced5188e
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