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 tokenizer.json from cheaptrix/MTSUSpring2025SoftwareEngineering: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/cheaptrix/MTSUSpring2025SoftwareEngineering/resolve/92d458f3e7040dfa37aed51d3e529a4f2bc6f14d/tokenizer.json
- Command line
-
hf download hf://cheaptrix/MTSUSpring2025SoftwareEngineering@92d458f3e7040dfa37aed51d3e529a4f2bc6f14d/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/cheaptrix/MTSUSpring2025SoftwareEngineering/resolve/92d458f3e7040dfa37aed51d3e529a4f2bc6f14d/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.