Instructions to use aieng-lab/bert-large-cased_commit-intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/bert-large-cased_commit-intent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/bert-large-cased_commit-intent")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/bert-large-cased_commit-intent") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/bert-large-cased_commit-intent") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31c2ae037cf7f2b16adecbe368f2c92f6e4737161d4b35a8c079f911640c62f4
- Size of remote file:
- 667 MB
- SHA256:
- 49366c353b0710fdfb9ac23da7f2b3a9972bc031511d56cb2eacecd6a6a5ae60
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