Instructions to use Langboat/mengzi-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Langboat/mengzi-t5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Langboat/mengzi-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("Langboat/mengzi-t5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd5ac50b8ec5f9dde46a344fd100d3bbf095ec8a2fa6243d7580f895fffe0eef
- Size of remote file:
- 725 kB
- SHA256:
- e0dc796e4a3d83ccbeb33b35ce905c5821b427f19343e1bdad7d0b47a3317cac
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