Instructions to use mooncakex/t5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mooncakex/t5-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mooncakex/t5-large") model = AutoModelForSeq2SeqLM.from_pretrained("mooncakex/t5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from mooncakex/t5-large: direct link, hf CLI and curl.
- Browser
- Download file 5.78 MB
-
https://huggingface.co/mooncakex/t5-large/resolve/main/optimizer.pt
- Command line
-
hf download hf://mooncakex/t5-large/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/mooncakex/t5-large/resolve/main/optimizer.pt
5.78 MB
- Xet hash:
- 2210162391904b85144336bd4e54ecd4baa2e8d9c99c67d27aa86fb7c10ff5a8
- Size of remote file:
- 5.78 MB
- SHA256:
- 41ba328d369f73747eb3dd2ea81ae8c9325461779f5923fe8eb8ce3b621c4dbc
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