Instructions to use ROGRANMAR/prueba_n with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ROGRANMAR/prueba_n with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ROGRANMAR/prueba_n")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ROGRANMAR/prueba_n") model = AutoModelForCTC.from_pretrained("ROGRANMAR/prueba_n", 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 sha256:694f69c25af28c0116a64a83894d72976976f62b392eeff801d13546f452bd3f
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size 377611072
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