Instructions to use areht/bart-large-finetuned-bart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use areht/bart-large-finetuned-bart with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("areht/bart-large-finetuned-bart") model = AutoModelForSeq2SeqLM.from_pretrained("areht/bart-large-finetuned-bart", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from areht/bart-large-finetuned-bart: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/areht/bart-large-finetuned-bart/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://areht/bart-large-finetuned-bart/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/areht/bart-large-finetuned-bart/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 8c1900ee6c442aeb65fd03f0f3812ae7b418753cd40b78bb15dd80b88d51a43d
- Size of remote file:
- 1.63 GB
- SHA256:
- a4e72e30624f2cc1bcc827b58f6d7742743e0958299c26b254dac505d0a68a96
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