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 training_args.bin from mooncakex/t5-large: direct link, hf CLI and curl.
- Browser
- Download file 3.64 kB
-
https://huggingface.co/mooncakex/t5-large/resolve/main/training_args.bin
- Command line
-
hf download hf://mooncakex/t5-large/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mooncakex/t5-large/resolve/main/training_args.bin
3.64 kB
- Xet hash:
- 95d6a32d4942543c6980edb2e93e0e3f5dbae13f35ce5a1e373171c82568d3ef
- Size of remote file:
- 3.64 kB
- SHA256:
- d7a98236d0ebe64231fc8e76b91bce130534005a4fa7a4337c449d935e860ec3
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