Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use SaundersonJ/MTSUSpring2025SoftwareEngineering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SaundersonJ/MTSUSpring2025SoftwareEngineering with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SaundersonJ/MTSUSpring2025SoftwareEngineering") model = AutoModelForSeq2SeqLM.from_pretrained("SaundersonJ/MTSUSpring2025SoftwareEngineering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a8cc478597260a1c78fb32eeebf65a0fe7b839ff49e5ea3023eacf2d69f8326
- Size of remote file:
- 242 MB
- SHA256:
- 31d8a83259e2eeb6983000e60ae0c0d7c5d387e84988bd0ea06b2dc9c366ee23
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