Instructions to use aieng-lab/t5-small_comment-type-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/t5-small_comment-type-python with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/t5-small_comment-type-python")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/t5-small_comment-type-python") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/t5-small_comment-type-python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92cf596ea9f6e9d46f06b36ac63f6e4075263c9d3f9000f63d6c44cdeb3f6238
- Size of remote file:
- 122 MB
- SHA256:
- 8052b211877135601132a8773ef77e4d8a11eb4223f4731bb44f287d6264865f
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