Instructions to use figfig/restaurant_test_at_local with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use figfig/restaurant_test_at_local with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="figfig/restaurant_test_at_local")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("figfig/restaurant_test_at_local") model = AutoModelForSpeechSeq2Seq.from_pretrained("figfig/restaurant_test_at_local", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Merge branch 'main' of https://huggingface.co/figfig/restaurant_test_at_local into main
Browse files
README.md
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| No log | 10.0 | 10 | 3.7743 | 100.0 |
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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| No log | 10.0 | 10 | 3.7743 | 100.0 |
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| No log | 20.0 | 20 | 0.6750 | 52.6316 |
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| 3.6042 | 30.0 | 30 | 0.5724 | 0.0 |
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| 3.6042 | 40.0 | 40 | 0.5402 | 0.0 |
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runs/Feb11_13-23-32_ros/events.out.tfevents.1676124953.ros.1365.0
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