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:
- 03ae3e5c69a36110b42178ee96c3832e8fb0b7148c5f703f50c8562d7e266dad
- Size of remote file:
- 558 MB
- SHA256:
- fe168454d5d6df8b6e1390bee0d50a5ba577940bb0996bb51f21eda47fd94b8c
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