Instructions to use valhalla/t5-small-qg-hl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use valhalla/t5-small-qg-hl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("valhalla/t5-small-qg-hl") model = AutoModelForSeq2SeqLM.from_pretrained("valhalla/t5-small-qg-hl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6210e01ed691e031c49af580d4ee94cafaf78f2aca00d9897da66430102286c9
- Size of remote file:
- 242 MB
- SHA256:
- e82e767154152e2b04dc5c6d31ee64268f999e6c8e7383fe7aeb1ea98e59c22a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.