Instructions to use pepoo20/kaggle_output2_augmentations with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pepoo20/kaggle_output2_augmentations with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pepoo20/kaggle_output2_augmentations")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("pepoo20/kaggle_output2_augmentations") model = AutoModelForCTC.from_pretrained("pepoo20/kaggle_output2_augmentations", 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 sha256:71e8cb541563edc6b0f400c343e48924729c2f5fdd1937edd437559121da95f8
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size 1262164132
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