Instructions to use AstralZander/igbo_ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AstralZander/igbo_ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AstralZander/igbo_ASR")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("AstralZander/igbo_ASR") model = AutoModelForCTC.from_pretrained("AstralZander/igbo_ASR") - 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:b2a87b74a9022cc7359cc07df58775f7683e2629bdf0f9a2f07c521364c01b28
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size 1262258432
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