Instructions to use aieng-lab/t5-base_commit-intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/t5-base_commit-intent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/t5-base_commit-intent")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/t5-base_commit-intent") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/t5-base_commit-intent") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
db5d587 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b4691c03af9703b4ed13f8e8902e29fbcb120b4cf04ffff3e6737f297c43c9a5
size 447027070
|