Instructions to use ROGRANMAR/PRUEBA5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ROGRANMAR/PRUEBA5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ROGRANMAR/PRUEBA5")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ROGRANMAR/PRUEBA5") model = AutoModelForCTC.from_pretrained("ROGRANMAR/PRUEBA5") - 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 sha256:6529b830b09c6d49656de63c46e1b1af1d05a30976fdbd2c60bba114173da1a9
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size 377611072
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