Instructions to use Inayat/whisper_small_fine_tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Inayat/whisper_small_fine_tuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Inayat/whisper_small_fine_tuning")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Inayat/whisper_small_fine_tuning") model = AutoModelForSpeechSeq2Seq.from_pretrained("Inayat/whisper_small_fine_tuning") - 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 sha256:826ce1067b9505d5c3d40e82d1906868b7a9d507dede2da3a1e65b4c4f840629
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size 966995136
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