Instructions to use NewBreaker/chatgpt_paraphraser_on_T5_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NewBreaker/chatgpt_paraphraser_on_T5_base with Transformers:
# Load model directly from transformers import AutoTokenizer, T5ForConditionalGeneration1 tokenizer = AutoTokenizer.from_pretrained("NewBreaker/chatgpt_paraphraser_on_T5_base") model = T5ForConditionalGeneration1.from_pretrained("NewBreaker/chatgpt_paraphraser_on_T5_base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ccaf0e2f55e14b481e7ccc9baf65ebc5311a2c9b2299ab10ec0da119b06226b3
- Size of remote file:
- 892 MB
- SHA256:
- eef6efe0c2f76b54837f90df73c4dc5586e0ada4d8ed7c337a8c9b3021aed803
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