Instructions to use mosesdaudu/DSN_ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mosesdaudu/DSN_ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mosesdaudu/DSN_ASR")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mosesdaudu/DSN_ASR") model = AutoModelForSpeechSeq2Seq.from_pretrained("mosesdaudu/DSN_ASR") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:df5944bb5d167aeab5342da1d481027584ae2711de2567764e9a0df53c9b564a
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size 966995080
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