Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Dev372/Finetuned_whisper_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dev372/Finetuned_whisper_tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Dev372/Finetuned_whisper_tiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Dev372/Finetuned_whisper_tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("Dev372/Finetuned_whisper_tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 959340faa3566ecd1303ff03c52aa2734b22bf5e8de33cdfee0e248d46fef50d
- Size of remote file:
- 5.3 kB
- SHA256:
- 329fc2d4fe7657b2b04dc85acafab969d88b88597e43ea576e86d5536e84edf8
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