Instructions to use KeLiu/QETRA_Python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KeLiu/QETRA_Python with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KeLiu/QETRA_Python") model = AutoModelForSeq2SeqLM.from_pretrained("KeLiu/QETRA_Python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5114b88fb6e051e0b274004a87c88b0856215a7843551dac91e9a77beb600269
- Size of remote file:
- 892 MB
- SHA256:
- ace5e654853a6463c2a50da28a913a939807393e959fbad9039d3b1067a28723
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