Instructions to use SamagraDataGov/hindi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamagraDataGov/hindi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SamagraDataGov/hindi")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("SamagraDataGov/hindi") model = AutoModelForSpeechSeq2Seq.from_pretrained("SamagraDataGov/hindi") - 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": 0.45935121178627014, "eval_wer": 252.8735632183908, "eval_runtime": 2.4702, "eval_samples_per_second": 2.834, "eval_steps_per_second": 0.405, "epoch": 30.0}
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