Transformers
TensorBoard
Safetensors
English
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use cheaptrix/MTSUFall2024SoftwareEngineering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cheaptrix/MTSUFall2024SoftwareEngineering with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cheaptrix/MTSUFall2024SoftwareEngineering") model = AutoModelForSeq2SeqLM.from_pretrained("cheaptrix/MTSUFall2024SoftwareEngineering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64abc03f383874451ca63221b263789493859e7781556b98be10210bc3401e41
- Size of remote file:
- 242 MB
- SHA256:
- d1b22652afd8bf9386d334dececa5624bd1c708877cd00026830b229030a039c
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