Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Pooya-Fallah/whisper-tiny-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pooya-Fallah/whisper-tiny-finetune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Pooya-Fallah/whisper-tiny-finetune")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Pooya-Fallah/whisper-tiny-finetune") model = AutoModelForSpeechSeq2Seq.from_pretrained("Pooya-Fallah/whisper-tiny-finetune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- edec59aa308a2258ce907d11b543392f67d73a92379d531ef0f7e4defdce7c3d
- Size of remote file:
- 5.24 kB
- SHA256:
- af12ed48e8c41c088e1778e92110774160343ff96735ea11ece34dc9d04481d1
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