Instructions to use aieng-lab/gpt2-medium_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-medium_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-medium_comment-type-java")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/gpt2-medium_comment-type-java") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/gpt2-medium_comment-type-java", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e86609a2a474f1e2e6b243474e911a23a2a3043d770b3e3eb3ad57f1a6fd248
- Size of remote file:
- 710 MB
- SHA256:
- 67e94c44302b869a736c779dd65fdebbf9dd9b8c7e6bfa990ddd766c7d6344c7
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