Instructions to use molto/molto_park with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use molto/molto_park with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="molto/molto_park")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("molto/molto_park") model = AutoModelForCTC.from_pretrained("molto/molto_park") - 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 sha256:7bdcd0956cce3b1a0d4d5b44e7811aa2c1aa9965a5e100a82db1533cbc249c62
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size 1271392400
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