Instructions to use aieng-lab/gpt2_commit-intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/gpt2_commit-intent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/gpt2_commit-intent")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/gpt2_commit-intent") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/gpt2_commit-intent") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9cc9b6f92d88492b46df4a1d534f81185b928697142190b042644f6d73929434
- Size of remote file:
- 249 MB
- SHA256:
- 01400dfece941abfc122182ffc3ba286b1a605b869b4fd947bdb15835adabaf7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.