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 5
Browse files- all_results.json +1 -1
- pytorch_model.bin +1 -1
all_results.json
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{"eval_rouge-1": {"r": 0.
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{"eval_rouge-1": {"r": 0.17501151199525627, "p": 0.2832450186191951, "f": 0.2041438271959266}, "eval_rouge-2": {"r": 0.06835295596821003, "p": 0.11325374939952007, "f": 0.07962138750723173}, "eval_rouge-l": {"r": 0.16110726509691634, "p": 0.261993123724454, "f": 0.18819964131259595}}
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pytorch_model.bin
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oid sha256:19635243ab1a246a3e6fb82e3ff48c5f01af78e4e471a72542437dfc097531e9
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size 1200773058
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