Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use beltrewilton/whisper-tiny-ft-minds14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beltrewilton/whisper-tiny-ft-minds14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="beltrewilton/whisper-tiny-ft-minds14")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("beltrewilton/whisper-tiny-ft-minds14") model = AutoModelForSpeechSeq2Seq.from_pretrained("beltrewilton/whisper-tiny-ft-minds14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06a05ccd3713dd84d8aeb7af157e8fe1efed02f0b7d059221eb94eb4a87aceb8
- Size of remote file:
- 4.73 kB
- SHA256:
- 2963c867fc2a998f6780abcfa03dd7751670ea137a4394476fb83c5a2ae9e185
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