Instructions to use aieng-lab/roberta-base_commit-intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/roberta-base_commit-intent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/roberta-base_commit-intent")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/roberta-base_commit-intent") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/roberta-base_commit-intent", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56e06d17ada1744a1cedc7fee180a661ff1e6f202277996e1438e97874a4b41c
- Size of remote file:
- 249 MB
- SHA256:
- 709655590a1e311dcd51c578faefee3c7628e9d494e158a6438f6d3f3599b169
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