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 training_args.bin from nkn002/ctrlsum_bart_base: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/nkn002/ctrlsum_bart_base/resolve/main/training_args.bin
- Command line
-
hf download hf://nkn002/ctrlsum_bart_base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nkn002/ctrlsum_bart_base/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 51675c06970c04123927e61cdf919adc88e306a44534583c9f432c16b09cfb54
- Size of remote file:
- 4.03 kB
- SHA256:
- a403513fec848e823f9b53422418d60238d5a9005f4215232c6717edc9e70b12
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