Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
whisper
Generated from Trainer
Instructions to use tensorboy/whisper-tiny-hi2_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tensorboy/whisper-tiny-hi2_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="tensorboy/whisper-tiny-hi2_test")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("tensorboy/whisper-tiny-hi2_test") model = AutoModelForSpeechSeq2Seq.from_pretrained("tensorboy/whisper-tiny-hi2_test") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- runs
- whisper-tiny-hi-checkpoint-1
- whisper-tiny-hi-checkpoint-2
- whisper-tiny-hi-checkpoint-3
- whisper-tiny-hi-checkpoint-4
- whisper-tiny-hi-checkpoint-5
- whisper-tiny-hi-checkpoint-6
- whisper-tiny-hi-checkpoint-7
- whisper-tiny-hi-checkpoint-8
- whisper-tiny-hi-checkpoint-9
- 1.52 kB
- 1.63 kB
- 1.34 kB
- 3.74 kB
- 151 MB xet
- 339 Bytes
- 151 MB xet
- 5.24 kB xet