Instructions to use ncoop57/bart-base-code-summarizer-java-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ncoop57/bart-base-code-summarizer-java-v0 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="ncoop57/bart-base-code-summarizer-java-v0")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ncoop57/bart-base-code-summarizer-java-v0") model = AutoModelForSeq2SeqLM.from_pretrained("ncoop57/bart-base-code-summarizer-java-v0") - Notebooks
- Google Colab
- Kaggle
Migrate model card from transformers-repo
Browse filesRead announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755
Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/ncoop57/bart-base-code-summarizer-java-v0/README.md