Instructions to use SamagraDataGov/test_whisper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamagraDataGov/test_whisper with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SamagraDataGov/test_whisper")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("SamagraDataGov/test_whisper") model = AutoModelForSpeechSeq2Seq.from_pretrained("SamagraDataGov/test_whisper") - Notebooks
- Google Colab
- Kaggle
Upload metrics.json with huggingface_hub
Browse files- metrics.json +1 -1
metrics.json
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{"eval_loss": 0.
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{"eval_loss": 0.5522833466529846, "eval_wer": 10.27501909854851, "eval_runtime": 25.327, "eval_samples_per_second": 2.764, "eval_steps_per_second": 0.355, "epoch": 1.0}
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