Instructions to use apwic/summarization-base-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apwic/summarization-base-1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("apwic/summarization-base-1") model = AutoModel.from_pretrained("apwic/summarization-base-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from apwic/summarization-base-1: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/apwic/summarization-base-1/resolve/main/training_args.bin
- Command line
-
hf download hf://apwic/summarization-base-1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/apwic/summarization-base-1/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- bccfdb02cbaf286e361c7718c25ef250186d5dc4b389b7dce9dc3801ad765141
- Size of remote file:
- 5.18 kB
- SHA256:
- 65f3b3b3b2bf1790b6d0b73238e930799e5bdd1f3f28dcbb5decc23e53d2df1a
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