Instructions to use vrclc/Malasar_50_latest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vrclc/Malasar_50_latest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="vrclc/Malasar_50_latest")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("vrclc/Malasar_50_latest") model = AutoModelForSpeechSeq2Seq.from_pretrained("vrclc/Malasar_50_latest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
03fdd6a
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Parent(s): 6aab69a
Upload events.out.tfevents.1687371133.kudsit-dgxserver.276469.0
Browse files
runs/events.out.tfevents.1687371133.kudsit-dgxserver.276469.0
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