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:
# 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
- Xet hash:
- 437beac2a0cd9326fe5fe49f75bda48ea5bb148ea35127fb438e12e93e4ae06e
- Size of remote file:
- 990 MB
- SHA256:
- 22b3fdf2e101e432c3679e2d1b1b085d4e9cb387fdb488d7285563dac2ce8213
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