Instructions to use aieng-lab/t5-large_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-large_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-large_comment-type-python")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/t5-large_comment-type-python") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/t5-large_comment-type-python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ba81a3f523b00dfff4c916c76f13c02c756d579eef93ef4cd30f03ae8f07b72
- Size of remote file:
- 1.48 GB
- SHA256:
- 9e9ef4e01d7bfe4326e2bf51004ac8bc86562a288dca851345a0eac610b53b1c
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