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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cheaptrix/MTSUSpring2025SoftwareEngineering") model = AutoModelForSeq2SeqLM.from_pretrained("cheaptrix/MTSUSpring2025SoftwareEngineering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from cheaptrix/MTSUSpring2025SoftwareEngineering: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/cheaptrix/MTSUSpring2025SoftwareEngineering/resolve/2e429807724dde2fef8aaed6f09377b4372fb53e/training_args.bin
- Command line
-
hf download hf://cheaptrix/MTSUSpring2025SoftwareEngineering@2e429807724dde2fef8aaed6f09377b4372fb53e/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/cheaptrix/MTSUSpring2025SoftwareEngineering/resolve/2e429807724dde2fef8aaed6f09377b4372fb53e/training_args.bin
5.62 kB
- Xet hash:
- 8ebc1dd3138c4521f3b24136dd94c21ff102b0fd4aa9a1f7542313384c941ec1
- Size of remote file:
- 5.62 kB
- SHA256:
- c23a14fe7969fe3da4864e1337ce04bbb4894c183d2f4eeecab21e1579625ba3
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