Instructions to use voidful/phoneme-longt5-local with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidful/phoneme-longt5-local with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("voidful/phoneme-longt5-local") model = AutoModelForSeq2SeqLM.from_pretrained("voidful/phoneme-longt5-local", 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 (07d0422baa67ef26def68b590e4a513f4b15a70b) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>e3da6df
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init model
ce23e35 -
initial commit
d4ec64f