Instructions to use nilc-nlp/psst-model-2e-1s-augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nilc-nlp/psst-model-2e-1s-augmented with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nilc-nlp/psst-model-2e-1s-augmented")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nilc-nlp/psst-model-2e-1s-augmented") model = AutoModelForSpeechSeq2Seq.from_pretrained("nilc-nlp/psst-model-2e-1s-augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec51d21851b16d4548ac7e31b4b9c8b6163f16999e615e7fcf2e54be59845c88
- Size of remote file:
- 5.11 kB
- SHA256:
- 508aa9f5c7674f9ca6765676ddd0ff4b239568a71cf8bfa66b25dfa8cde63cd8
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