Instructions to use devkyle/small-v11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devkyle/small-v11 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="devkyle/small-v11")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("devkyle/small-v11") model = AutoModelForSpeechSeq2Seq.from_pretrained("devkyle/small-v11") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1000
Browse files
model.safetensors
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runs/Nov07_05-46-53_67d7f1254e0d/events.out.tfevents.1730958422.67d7f1254e0d.276.1
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training_args.bin
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