Instructions to use Mohamed-Emad/midcal_lambdaA1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mohamed-Emad/midcal_lambdaA1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mohamed-Emad/midcal_lambdaA1")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Mohamed-Emad/midcal_lambdaA1") model = AutoModelForCTC.from_pretrained("Mohamed-Emad/midcal_lambdaA1") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:ce02fd306a52e0d4b588aaedc34d81f0ee26ce965549fe39f052226888c59d0b
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size 377607996
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