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:
- 68c0f106e1a8eafc89a61b53b9228074352ed26708223145a104fa6655a1034f
- Size of remote file:
- 3.64 kB
- SHA256:
- 940fb2cc1f6f62fa8a9d8c03f1e2262eabc34d9bdf23be044f97cae96f9845f8
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