Instructions to use devagonal/t5-small-squad-qg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devagonal/t5-small-squad-qg with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("devagonal/t5-small-squad-qg") model = AutoModelForSeq2SeqLM.from_pretrained("devagonal/t5-small-squad-qg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba231a4884bd5a552cd59e4cb6a4b7cdf85927dc71341130b2189351deab6260
- Size of remote file:
- 5.3 kB
- SHA256:
- aa41993ac70058b6b478c0abad828092897def1af214804fa90e3617c2e13cfe
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