Instructions to use NbAiLabArchive/scream_nrk_tpu_nostream_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLabArchive/scream_nrk_tpu_nostream_tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLabArchive/scream_nrk_tpu_nostream_tiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NbAiLabArchive/scream_nrk_tpu_nostream_tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLabArchive/scream_nrk_tpu_nostream_tiny") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64f8101940d31ea9749f65de67398601c81b09bca36e9a0cf25663b15efcd10f
- Size of remote file:
- 151 MB
- SHA256:
- ff250c7843ba164394ff10b6d6774c8eab874e1a1c2c763b936bf53c55f6fd4d
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