Instructions to use aksds/checkpoint-100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aksds/checkpoint-100 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="aksds/checkpoint-100")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("aksds/checkpoint-100") model = AutoModelForSpeechSeq2Seq.from_pretrained("aksds/checkpoint-100") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 600
Browse files
model.safetensors
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runs/Jan15_13-18-46_vmds001/events.out.tfevents.1705324731.vmds001
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