Instructions to use aieng-lab/gpt2-large_comment-type-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/gpt2-large_comment-type-java with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/gpt2-large_comment-type-java")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/gpt2-large_comment-type-java") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/gpt2-large_comment-type-java") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2bfaa24fdac7659eb3402c01b7bc50df1a579f7faf420fda7c6a1001ad56f9cb
- Size of remote file:
- 1.55 GB
- SHA256:
- 6f2d1adb81a26690a7bc483331136a21c0ea00a37f27282104ccc9628b7c59e7
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