Instructions to use Shubham09/LISA_Whisper_medium_latest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shubham09/LISA_Whisper_medium_latest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Shubham09/LISA_Whisper_medium_latest")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Shubham09/LISA_Whisper_medium_latest") model = AutoModelForSpeechSeq2Seq.from_pretrained("Shubham09/LISA_Whisper_medium_latest") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:47e21cebc6d76cc1c9eaf3a0cce2a822db472b8028d1c1daef4e96782f926862
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size 3055544304
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