Instructions to use nkn002/ctrlsum_bart_base_640k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nkn002/ctrlsum_bart_base_640k with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nkn002/ctrlsum_bart_base_640k") model = AutoModelForSeq2SeqLM.from_pretrained("nkn002/ctrlsum_bart_base_640k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nkn002/ctrlsum_bart_base_640k: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/nkn002/ctrlsum_bart_base_640k/resolve/main/training_args.bin
- Command line
-
hf download hf://nkn002/ctrlsum_bart_base_640k/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nkn002/ctrlsum_bart_base_640k/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 6f99a940d7a2fd8b0982af5611aa79e58f7d11f2602294bd01e081ed855b8d56
- Size of remote file:
- 4.03 kB
- SHA256:
- c6f06fb76ccc4f96f8cc6b01d80d4d7208a61c9ee7f4d7a7d05d2ca7e2a2bbc5
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