Instructions to use NTU-LYZ/CommitBART-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NTU-LYZ/CommitBART-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NTU-LYZ/CommitBART-base") model = AutoModelForSeq2SeqLM.from_pretrained("NTU-LYZ/CommitBART-base") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e473eeebd9ef18bc6fd759c65905588c144ab838dbd98ebca0fde75a85134b33
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size 557199891
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