Instructions to use marksverdhei/flan-t5-large-multiqg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marksverdhei/flan-t5-large-multiqg with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("marksverdhei/flan-t5-large-multiqg") model = AutoModelForSeq2SeqLM.from_pretrained("marksverdhei/flan-t5-large-multiqg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83f9048c6562af19c814a6d66cce9973d418111518d3de1633d2af7e3b7b740c
- Size of remote file:
- 4.03 kB
- SHA256:
- aa9f9ecf34f3ee2c25c68e236102ab34c5075c82c7f14c00ecb5a4b5d753f568
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