Instructions to use nkn002/ctrlsum_bart_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nkn002/ctrlsum_bart_base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nkn002/ctrlsum_bart_base") model = AutoModelForSeq2SeqLM.from_pretrained("nkn002/ctrlsum_bart_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nkn002/ctrlsum_bart_base: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/nkn002/ctrlsum_bart_base/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://nkn002/ctrlsum_bart_base@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nkn002/ctrlsum_bart_base/resolve/refs%2Fpr%2F1/pytorch_model.bin
558 MB
- Xet hash:
- 20dad38bad56b4eaba8eb2802c1a93fbeb5f9950a81b2d840155b48cb5c74c92
- Size of remote file:
- 558 MB
- SHA256:
- 26e9940ee2f2fbab6b09d2cb295d44aa1e699535c52ec2202a609b9d7f52e745
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