Instructions to use aieng-lab/gpt2-large_commit-intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/gpt2-large_commit-intent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/gpt2-large_commit-intent")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/gpt2-large_commit-intent") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/gpt2-large_commit-intent") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9fa1fba5e0a528bb21b9d1e92c442721cde01a89d8e4ad732dc05c972c2258e8
- Size of remote file:
- 1.55 GB
- SHA256:
- 0ae139bd051331fb0b7651a862c72bd8681bdbdd6672cc6ae2d6559cbdf987e5
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