Instructions to use supercat666/qg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use supercat666/qg with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("supercat666/qg") model = AutoModelForSeq2SeqLM.from_pretrained("supercat666/qg") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 046caf644945053c27ff9c24a554d0c994034fa824cfae96af8da95bd3e149b1
- Size of remote file:
- 16.3 MB
- SHA256:
- 2cc66048a0e9f3a7d41e93b783812c0238b46a4b10142a3c4965a9c69f905d62
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