Instructions to use Mojtabazarrin/whisper-tiny-fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mojtabazarrin/whisper-tiny-fa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mojtabazarrin/whisper-tiny-fa")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Mojtabazarrin/whisper-tiny-fa") model = AutoModelForSpeechSeq2Seq.from_pretrained("Mojtabazarrin/whisper-tiny-fa", 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:a342ba8eff5d774d37f7f0c799312408bde6bf1b97c6e096948a16e731d53407
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size 151061728
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