Instructions to use huyld/AI_class_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huyld/AI_class_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="huyld/AI_class_test")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("huyld/AI_class_test") model = AutoModelForCTC.from_pretrained("huyld/AI_class_test") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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:f2d6f81ae3923b3de420fe1d24f43f845b679d4984a60dcab1d8ff5091558591
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size 1262221532
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