Instructions to use kssteven/T5-small-cnndm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kssteven/T5-small-cnndm with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kssteven/T5-small-cnndm") model = AutoModelForSeq2SeqLM.from_pretrained("kssteven/T5-small-cnndm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kssteven/T5-small-cnndm: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/kssteven/T5-small-cnndm/resolve/main/training_args.bin
- Command line
-
hf download hf://kssteven/T5-small-cnndm/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kssteven/T5-small-cnndm/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 1c7e9e201ee4e1ba04384896d6043050b0085dbd673c0dee6874d7ba5651fa20
- Size of remote file:
- 3.58 kB
- SHA256:
- bcc430951811b1f20ce7f71dcb265565ceb5f0e838a25ff7b76f1bc09d43e825
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