Instructions to use yubinH/summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yubinH/summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("yubinH/summarization") model = AutoModelForSeq2SeqLM.from_pretrained("yubinH/summarization") - Notebooks
- Google Colab
- Kaggle
Training in progress epoch 8
Browse files- all_results.json +1 -1
- pytorch_model.bin +1 -1
all_results.json
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{"eval_rouge-1": {"r": 14.5192, "p": 34.095, "f": 18.4421}, "eval_rouge-2": {"r": 5.5618, "p": 13.8641, "f": 7.0317}, "eval_rouge-l": {"r": 13.5832, "p": 32.3748, "f": 17.3262}}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:2e983b3d6a7905b832d7f8ea05921fdc53c9d544a1c226546c883df5272b2992
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size 1200773058
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