Instructions to use nyadla-sys/whisper-tiny.en.tflite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nyadla-sys/whisper-tiny.en.tflite with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nyadla-sys/whisper-tiny.en.tflite")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nyadla-sys/whisper-tiny.en.tflite", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Update the whisper small universal model and top world model 49e9c69
Update the whisper small spanish model for ondevice fdd0ef9
upload english tflite models 7370805
Add host info logging and benchmark jfk.wav only in Step 7 afc226c
Upload tiny.en tflite model 91ab734
test: Add Spanish transcribe/translate test for auto-language models e2fadca
Add whisper-large-v3 and whisper-turbo support with dynamic mel bins 0f284fb
Add medium/large/turbo model support and fix TFLite export for larger models e8858c1
Add HuggingFace YAML metadata and citation to README 503b754
Add Whisper TFLite model generation script with CLI f506766
Niranjan Yadla commited on