Instructions to use SorrySalmon/summary_train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SorrySalmon/summary_train with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SorrySalmon/summary_train") model = AutoModelForSeq2SeqLM.from_pretrained("SorrySalmon/summary_train", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SorrySalmon/summary_train: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/SorrySalmon/summary_train/resolve/main/training_args.bin
- Command line
-
hf download hf://SorrySalmon/summary_train/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SorrySalmon/summary_train/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 5af55ae00c436cf3b3bfb961e8b3c43d2f305966e5fed4e030c8e81a9493f6df
- Size of remote file:
- 5.43 kB
- SHA256:
- 63e591b638e34b0607be2c6c6a0095984c00c9b35fc13e465701fdddc9323bf3
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