Instructions to use springml111/T5_Paraphrase_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use springml111/T5_Paraphrase_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("springml111/T5_Paraphrase_model") model = AutoModelForSeq2SeqLM.from_pretrained("springml111/T5_Paraphrase_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42c2a595396265a4649b9d302cb1bc3d244c83302469950487f25d5e60431ef0
- Size of remote file:
- 892 MB
- SHA256:
- e6a51a9094346274284788056d9df25f442c221d0ddc29523494f4eef81067cd
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