Transformers
PyTorch
JAX
Safetensors
t5
text2text-generation
question-generation
text-generation-inference
Instructions to use p208p2002/t5-squad-nqg-hl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use p208p2002/t5-squad-nqg-hl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("p208p2002/t5-squad-nqg-hl") model = AutoModelForSeq2SeqLM.from_pretrained("p208p2002/t5-squad-nqg-hl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 695882fa6e759ac3e7399a6e3e33049ce6e17beecf5a938de658670c0eb4ce35
- Size of remote file:
- 892 MB
- SHA256:
- e4574dd15a467a2f63a21d1defe597fcaacb6c31db3a7f6d749925be71ea1d89
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