Instructions to use devagonal/flan-t5-rouge-squad-qg-120 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devagonal/flan-t5-rouge-squad-qg-120 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("devagonal/flan-t5-rouge-squad-qg-120") model = AutoModelForSeq2SeqLM.from_pretrained("devagonal/flan-t5-rouge-squad-qg-120", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58821125efcd44e6b62c8108048a9a31023169daf228c3a32d7576d738b461b3
- Size of remote file:
- 5.5 kB
- SHA256:
- 3a4e374d049323088f6a5816411dadbe2f21688bdd5c8ff39c4bf66082d7888c
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