Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use cheaptrix/MTSUSpring2025SoftwareEngineering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cheaptrix/MTSUSpring2025SoftwareEngineering with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cheaptrix/MTSUSpring2025SoftwareEngineering") model = AutoModelForSeq2SeqLM.from_pretrained("cheaptrix/MTSUSpring2025SoftwareEngineering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 355a9da469a411f8cda4fbbe2b33b6a97b7923cc94719d744930e53167fb8741
- Size of remote file:
- 242 MB
- SHA256:
- a1cc3a976f85fed4be98f06eca71002ad79b98946aae54a53294abb2470e7802
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