Instructions to use JordanWHLewis/hyperparam-fairseq-match_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JordanWHLewis/hyperparam-fairseq-match_V2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="JordanWHLewis/hyperparam-fairseq-match_V2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("JordanWHLewis/hyperparam-fairseq-match_V2") model = AutoModelForCTC.from_pretrained("JordanWHLewis/hyperparam-fairseq-match_V2") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:b8ddb9580129c0ab735b749e06efdc167e2dc7a957b9eb0819554491f5651a1d
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size 1261996032
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