Instructions to use marziye-A/student with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marziye-A/student with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="marziye-A/student")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("marziye-A/student") model = AutoModelForCTC.from_pretrained("marziye-A/student") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:7108c1bb1e99c12a82f98251cb4e2b00854b52fb97ce8cd56d67785b9c311d15
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size 377635680
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