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 rng_state.pth from nkn002/ctrlsum_bart_base: direct link, hf CLI and curl.
- Browser
- Download file 14.6 kB
-
https://huggingface.co/nkn002/ctrlsum_bart_base/resolve/main/rng_state.pth
- Command line
-
hf download hf://nkn002/ctrlsum_bart_base/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/nkn002/ctrlsum_bart_base/resolve/main/rng_state.pth
14.6 kB
- Xet hash:
- 3919244007f303cc8dfb2f8a169b239c1a3d644be78aa354dfce593cebc06ac0
- Size of remote file:
- 14.6 kB
- SHA256:
- 2c71e7b3aba77dfceb4cd6b91f30597a809391c95c0b708d15381eabf970cdce
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