Instructions to use fav-kky/wav2vec2-base-cs-80k-ClTRUS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fav-kky/wav2vec2-base-cs-80k-ClTRUS with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("fav-kky/wav2vec2-base-cs-80k-ClTRUS") model = AutoModelForPreTraining.from_pretrained("fav-kky/wav2vec2-base-cs-80k-ClTRUS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c80af7cb2521d45ba18176e9477dcc6de702794d8680914240bb78e3b3bdc27
- Size of remote file:
- 380 MB
- SHA256:
- 5f77fa4f07ee3530445f3d5defc700a9468d0da80deaa26cc484d069a93d2646
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