Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use ThangaTharun/finetunedtiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThangaTharun/finetunedtiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ThangaTharun/finetunedtiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ThangaTharun/finetunedtiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("ThangaTharun/finetunedtiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 738f8b10196bb4623530352f3711e7d9ee7d8b89ddcc637c75eb6bc8e323f334
- Size of remote file:
- 4.86 kB
- SHA256:
- ff91e2aae283cb6ee4e16e5dabab33ee11795c310471fcf4e4e587bbe61af11e
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