Instructions to use aieng-lab/t5-large_commit-intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/t5-large_commit-intent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/t5-large_commit-intent")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/t5-large_commit-intent") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/t5-large_commit-intent") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c544ed4abeda97277d05f3ebb41bd6a898368dbe3c444c9fc652f08deb70cce
- Size of remote file:
- 1.48 GB
- SHA256:
- adc1def64d7954aedf9c8774476fea13ec8ce79fbd57e0d9cf084de11c5e3e04
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