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 pytorch_model.bin from nkn002/ctrlsum_bart_base_640k: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/nkn002/ctrlsum_bart_base_640k/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nkn002/ctrlsum_bart_base_640k/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nkn002/ctrlsum_bart_base_640k/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- 3981ceb6d28c2642c469c0dfdbf430188d2dc5858416a8e70c8b8ae9d979b46f
- Size of remote file:
- 558 MB
- SHA256:
- f4885b6ab7b36e7e40fe37178a41017ffa74370883487d75a9e67a4975031e50
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