Instructions to use jpodivin/pep_summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jpodivin/pep_summarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jpodivin/pep_summarization") model = AutoModelForSeq2SeqLM.from_pretrained("jpodivin/pep_summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files- model.safetensors +1 -1
- tokenizer.json +6 -1
- training_args.bin +1 -1
model.safetensors
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tokenizer.json
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training_args.bin
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