Transformers
PyTorch
TensorBoard
t5
text2text-generation
nol2pro
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use liyin/nol2pro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liyin/nol2pro with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("liyin/nol2pro") model = AutoModelForSeq2SeqLM.from_pretrained("liyin/nol2pro") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2463b102111e9c50844ae78411f58d0e607e54be031abc7264c37d4fd7210cdd
- Size of remote file:
- 242 MB
- SHA256:
- 1798e13bb9fad8179e1ac2abae9ff17f79c6dc96b9e9885b0b1c166bb3296225
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