Instructions to use Splend1dchan/xtreme_s_w2v2_minds14.en-US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Splend1dchan/xtreme_s_w2v2_minds14.en-US with Transformers:
# Load model directly from transformers import AutoProcessor, Wav2VecModelForAudioTextClassification processor = AutoProcessor.from_pretrained("Splend1dchan/xtreme_s_w2v2_minds14.en-US") model = Wav2VecModelForAudioTextClassification.from_pretrained("Splend1dchan/xtreme_s_w2v2_minds14.en-US", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91a8a4f3949b53a36fd4c58f3cde04acac8b01a4c09691e4398eeb5ea3bb9889
- Size of remote file:
- 1.26 GB
- SHA256:
- 29293cb486bc67aa4608276fe7488e714183c1d275c20aad451c2413c0931e69
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.