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
- Xet hash:
- 5ee425c97984e1da1606fa07498977eb9f5424d1e01e90d8bd90bc233aba0275
- Size of remote file:
- 558 MB
- SHA256:
- e4972a0dffb1512774b318bd5bb08b57ccf129f36e821158ba31915a95283a95
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