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 scheduler.pt from nkn002/ctrlsum_bart_base: direct link, hf CLI and curl.
- Browser
- Download file 627 Bytes
-
https://huggingface.co/nkn002/ctrlsum_bart_base/resolve/main/scheduler.pt
- Command line
-
hf download hf://nkn002/ctrlsum_bart_base/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/nkn002/ctrlsum_bart_base/resolve/main/scheduler.pt
627 Bytes
- Xet hash:
- 529d5efe733e8e51b25fdac438581624c28a4d63801fd9b6e0f93dc32b0a1e4f
- Size of remote file:
- 627 Bytes
- SHA256:
- d71eb6e059c29bd924de0b9b519ff7644305a63a8aa073593371f7afccbc7091
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