Instructions to use aieng-lab/codet5p-770m_comment-type-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/codet5p-770m_comment-type-java with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/codet5p-770m_comment-type-java")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/codet5p-770m_comment-type-java") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/codet5p-770m_comment-type-java", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
03d3681 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:6ca7a3d1927d881969b0779f4e2a168f20aea335bb08955197d02b461f2423a5
size 1477461174
|