Instructions to use aieng-lab/gpt2-medium_commit-intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/gpt2-medium_commit-intent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/gpt2-medium_commit-intent")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/gpt2-medium_commit-intent") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/gpt2-medium_commit-intent") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c400aae48011e00f16eee2cc5a753712bf6b8db4484c9275e07aed37770f6c3
- Size of remote file:
- 710 MB
- SHA256:
- 48b1530ec0e1712c32c1dc74659fe70472f979bec38f4cb664695f8cee3e1f11
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.