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
Download training_args.bin from Splend1dchan/xtreme_s_w2v2_minds14.en-US: direct link, hf CLI and curl.
- Browser
- Download file 3.25 kB
-
https://huggingface.co/Splend1dchan/xtreme_s_w2v2_minds14.en-US/resolve/main/training_args.bin
- Command line
-
hf download hf://Splend1dchan/xtreme_s_w2v2_minds14.en-US/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Splend1dchan/xtreme_s_w2v2_minds14.en-US/resolve/main/training_args.bin
3.25 kB
- Xet hash:
- 4df685e8a8c8761a42e7f2dc1c11d05ca314d47c9432107a3abfabc2d4ffbf34
- Size of remote file:
- 3.25 kB
- SHA256:
- 372727534021d10c326e2191f00abc5b9fa5d417c54a38a1199d9f11bca8cb3c
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