Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use CitrusPrincess/MTSUSpring2025SoftwareEngineering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CitrusPrincess/MTSUSpring2025SoftwareEngineering with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CitrusPrincess/MTSUSpring2025SoftwareEngineering") model = AutoModelForSeq2SeqLM.from_pretrained("CitrusPrincess/MTSUSpring2025SoftwareEngineering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a1f41e11516e6357043544fabc7edc5f32c32033328fe617a4d140682bfb5d4
- Size of remote file:
- 242 MB
- SHA256:
- d22f02cccb8cdce5ab313ad922574b0c86fceeabee019b1286fb29c1a8fbd1fd
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