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 pytorch_model.bin from mooncakex/t5-large: direct link, hf CLI and curl.
- Browser
- Download file 3.13 GB
-
https://huggingface.co/mooncakex/t5-large/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://mooncakex/t5-large/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mooncakex/t5-large/resolve/main/pytorch_model.bin
3.13 GB
- Xet hash:
- 631800f04b018d79ed65cc81845263b06cce58f558e23d2004cc92abc425881d
- Size of remote file:
- 3.13 GB
- SHA256:
- 89e536ae1b62aa567f86131006ad35c17685734af574605db1a72ba86f16e33c
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