Instructions to use Shubham09/LISA_Whisper_medium_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shubham09/LISA_Whisper_medium_en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Shubham09/LISA_Whisper_medium_en")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Shubham09/LISA_Whisper_medium_en") model = AutoModelForSpeechSeq2Seq.from_pretrained("Shubham09/LISA_Whisper_medium_en", 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:f7fdc4b2746e3436da1c68c49cbc03c62f63a6585c32bd9e77455e798607cbf5
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size 3055540208
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