Instructions to use huydt/large_config with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huydt/large_config with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="huydt/large_config")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("huydt/large_config") model = AutoModelForSpeechSeq2Seq.from_pretrained("huydt/large_config") - 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 sha256:06ff1f467d24198cba50e6ae105b5eb6c7feeda5c8a9910e21f8b5cfcc4ede49
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size 290403936
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