Instructions to use basilkr/Malasar_48WER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use basilkr/Malasar_48WER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="basilkr/Malasar_48WER")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("basilkr/Malasar_48WER") model = AutoModelForSpeechSeq2Seq.from_pretrained("basilkr/Malasar_48WER") - Notebooks
- Google Colab
- Kaggle
Upload optimizer.pt
Browse files- optimizer.pt +3 -0
optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:4ff42959dee6caf83c6648457bce0d0522921c06b0ee6d940c76e0fa1d0073c6
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size 12347192855
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