Instructions to use basilkr/Whisper_Malasar_50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use basilkr/Whisper_Malasar_50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="basilkr/Whisper_Malasar_50")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("basilkr/Whisper_Malasar_50") model = AutoModelForSpeechSeq2Seq.from_pretrained("basilkr/Whisper_Malasar_50") - Notebooks
- Google Colab
- Kaggle
Upload events.out.tfevents.1686897646.kudsit-dgxserver.1773442.1
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by kavyamanohar - opened
events.out.tfevents.1686897646.kudsit-dgxserver.1773442.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:2269ddeab5f393af22ba5907d2a68240d1fc662b7ba02a103a514be2468c7349
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size 6155
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