Instructions to use aieng-lab/gpt2_comment-type-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/gpt2_comment-type-python with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/gpt2_comment-type-python")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/gpt2_comment-type-python") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/gpt2_comment-type-python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c1341fe55ebfc7b60c19a1add6b912b6bd724a668a9e1e04cc92cd608334142
- Size of remote file:
- 249 MB
- SHA256:
- e0d4a6d8427d6bb79a0f664554588e41e5af17a01c6f73451ddf8cc4ca078fdb
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