Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
JAX
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use iqbalasrif/whisper-tiny-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iqbalasrif/whisper-tiny-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="iqbalasrif/whisper-tiny-finetuned")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("iqbalasrif/whisper-tiny-finetuned") model = AutoModelForSpeechSeq2Seq.from_pretrained("iqbalasrif/whisper-tiny-finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d3ccea70dc92686577b9b9a38d789ac27a8afe49feac1969127ca19a6351b9e
- Size of remote file:
- 5.37 kB
- SHA256:
- adb59dce1518b3dd6568a6cc562e4afcb56e424e6b498b28a4052dc7bfa10edd
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