Instructions to use voidful/phoneme-longt5-global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidful/phoneme-longt5-global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("voidful/phoneme-longt5-global") model = AutoModelForSeq2SeqLM.from_pretrained("voidful/phoneme-longt5-global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9a05bbe5b735415bd5f8ada74063829fc2472b0a9137fd5d0d29ca5a34723bb
- Size of remote file:
- 990 MB
- SHA256:
- 8f885b09c3819f5ccb093800c6125e38db6b15d3beb064e8eb8c5c1bd26ebafe
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