Instructions to use lemon234071/t5-base-Chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lemon234071/t5-base-Chinese with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lemon234071/t5-base-Chinese") model = AutoModelForSeq2SeqLM.from_pretrained("lemon234071/t5-base-Chinese") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7166be8cceaaa25067941128dc769a068375ecf1a9fcdf368d6b011e419d0a1f
- Size of remote file:
- 1.01 GB
- SHA256:
- 1fae90c155462e380c6fba9810c745abee6a337b51ccfc69dc21a54ffc618560
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.