Instructions to use m8128/summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m8128/summarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("m8128/summarization") model = AutoModelForSeq2SeqLM.from_pretrained("m8128/summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from m8128/summarization: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/m8128/summarization/resolve/main/training_args.bin
- Command line
-
hf download hf://m8128/summarization/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/m8128/summarization/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 91f8ebb043d55668a055a13ac40dc37db9f25de1793dc191ca6d8c6c6e1568eb
- Size of remote file:
- 5.43 kB
- SHA256:
- 096f22d6a10cf884cf23926d31e83f04c036e21fa19bf8edd45dea82b1c09d7f
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