Instructions to use aieng-lab/t5-small_comment-type-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/t5-small_comment-type-java with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/t5-small_comment-type-java")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/t5-small_comment-type-java") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/t5-small_comment-type-java") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
55611f2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0485af815187e87efd5b257c12ba21e0d390fff7d0b546d68c335c40449ae55e
size 121563118
|