Instructions to use AIFahim/whisper-tiny-model-gpu-experimet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIFahim/whisper-tiny-model-gpu-experimet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AIFahim/whisper-tiny-model-gpu-experimet")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("AIFahim/whisper-tiny-model-gpu-experimet") model = AutoModelForSpeechSeq2Seq.from_pretrained("AIFahim/whisper-tiny-model-gpu-experimet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:730297f9414d7cea0035b20e5804127f1d9bba9bb7fb3dfc07e66cabdc188882
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size 966995080
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