Instructions to use aieng-lab/gpt2-xl_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-xl_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-xl_comment-type-java")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/gpt2-xl_comment-type-java") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/gpt2-xl_comment-type-java", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b28b417180ecbc9a003059c47dc203b05d45609215c97eb407a8c7eeb2408fe
- Size of remote file:
- 3.12 GB
- SHA256:
- 83b565081c62f8abdae15462a98c6c95af49d4a65c1b449bc76d35891885eee3
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