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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e95d6de49e7731aa5d6da17f9db50165dadadd77fe5d8c31a0d96ec2377aed34
- Size of remote file:
- 5.62 kB
- SHA256:
- 6dc966ea53ee6d5ed3d7b012b7a3204367f5364a25826c26f1f1e0e2114ddaee
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