Instructions to use lukespeech/whisper-tiny-fo-temp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lukespeech/whisper-tiny-fo-temp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lukespeech/whisper-tiny-fo-temp")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("lukespeech/whisper-tiny-fo-temp") model = AutoModelForSpeechSeq2Seq.from_pretrained("lukespeech/whisper-tiny-fo-temp") - 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:e860dc54ed8907a1fc7d2faa7f51714007fb63f0cae1d5191f46714da1bad198
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size 151061728
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