Instructions to use learn3r/t5_3b_qgen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use learn3r/t5_3b_qgen with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("learn3r/t5_3b_qgen") model = AutoModelForSeq2SeqLM.from_pretrained("learn3r/t5_3b_qgen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 408dc9477b605ba7a8d128e748fb0f991fa018f5e7d7c13896091a48a79a8cfc
- Size of remote file:
- 4.28 kB
- SHA256:
- 092c785a9caefd7cae0466fb76f3877b92cff9612cdfa2bf47922d4cba23e8e3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.