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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("yubinH/summarization") model = AutoModelForSeq2SeqLM.from_pretrained("yubinH/summarization", device_map="auto") - 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": 19.
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{"eval_rouge-1": {"r": 19.5336, "p": 27.6125, "f": 21.8031}, "eval_rouge-2": {"r": 7.8959, "p": 11.1734, "f": 8.7591}, "eval_rouge-l": {"r": 17.7652, "p": 25.2071, "f": 19.8472}}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:2db7533b3d56b1b847dcaf9b1d2277b826d901cf231ec94061f7f4de604b2f62
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size 1200773058
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