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:
- e581f3e3f7a1d8b7c973725cb71ae685a03dfe6a5073a781e7ef1968bfd5ef5c
- Size of remote file:
- 242 MB
- SHA256:
- 8ac6ef1bee28ad810f31eb09200b9bacf1d5f5eac4700d3a07a227de7093f456
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