Instructions to use gmenon/hubert-xlarge-bart-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gmenon/hubert-xlarge-bart-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="gmenon/hubert-xlarge-bart-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq tokenizer = AutoTokenizer.from_pretrained("gmenon/hubert-xlarge-bart-base") model = AutoModelForSpeechSeq2Seq.from_pretrained("gmenon/hubert-xlarge-bart-base") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:93545d1b4ca03d51180588fcf870f081ef78b05282dc16beb9c55469d8f92143
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size 1649390864
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