Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use cheaptrix/TokenizerTestingMTSUFall2024SoftwareEngineering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cheaptrix/TokenizerTestingMTSUFall2024SoftwareEngineering with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cheaptrix/TokenizerTestingMTSUFall2024SoftwareEngineering") model = AutoModelForSeq2SeqLM.from_pretrained("cheaptrix/TokenizerTestingMTSUFall2024SoftwareEngineering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8df555ddeb6aa9c4d95dd9b56c74734f5590a51642a816da12016905421b5a8
- Size of remote file:
- 242 MB
- SHA256:
- e70690b99909026ee6b8d62fbccc13ab14805047ad62ff64a7b7d627656796d6
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