Instructions to use Wikidepia/IndoT5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wikidepia/IndoT5-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Wikidepia/IndoT5-large") model = AutoModelForSeq2SeqLM.from_pretrained("Wikidepia/IndoT5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Wikidepia/IndoT5-large: direct link, hf CLI and curl.
- Browser
- Download file 3.13 GB
-
https://huggingface.co/Wikidepia/IndoT5-large/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Wikidepia/IndoT5-large/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Wikidepia/IndoT5-large/resolve/main/pytorch_model.bin
3.13 GB
- Xet hash:
- d269c97530382aa3bc8edfcee080a882776f5c65e59dfabd7e953024d1a0ae9b
- Size of remote file:
- 3.13 GB
- SHA256:
- 4ab9f01c5f3615d0560e155ee31b0adbcbcf8edbbf7d8ec450384dd4c2d3d4c1
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