Instructions to use emilstabil/DanSumT5-largeV_84227 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emilstabil/DanSumT5-largeV_84227 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("emilstabil/DanSumT5-largeV_84227") model = AutoModelForSeq2SeqLM.from_pretrained("emilstabil/DanSumT5-largeV_84227", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from emilstabil/DanSumT5-largeV_84227: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/emilstabil/DanSumT5-largeV_84227/resolve/main/training_args.bin
- Command line
-
hf download hf://emilstabil/DanSumT5-largeV_84227/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/emilstabil/DanSumT5-largeV_84227/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- 431973b91479a255d499183372ef50a67b3026610015b86fc5a4d4ddad9f5b1b
- Size of remote file:
- 4.66 kB
- SHA256:
- e01cfa1c3b1814c2103fc3a4ea46a8324402d40010ab6219de6a0a74e80f02ab
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