Instructions to use gincioks/whisper-tiny-lt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gincioks/whisper-tiny-lt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="gincioks/whisper-tiny-lt")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("gincioks/whisper-tiny-lt") model = AutoModelForSpeechSeq2Seq.from_pretrained("gincioks/whisper-tiny-lt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (80038dd207df10d45e0614b6461cd86541c2f70d) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>b27419e
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Upload WhisperForConditionalGeneration
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initial commit
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