Instructions to use voidful/phoneme_byt5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidful/phoneme_byt5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("voidful/phoneme_byt5") model = AutoModelForSeq2SeqLM.from_pretrained("voidful/phoneme_byt5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (9b45ecbda795aadc2b4d3dd0bdb1278bc015b165) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>cbaf6e6
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Upload pytorch_model.bin with git-lfs
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Upload config.json
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update model iter_100000
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update model iter 25000
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model update
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update model
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model update
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init commit
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initial commit
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