Instructions to use e22vvb/EN_mt5-base_15_wikiSQL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use e22vvb/EN_mt5-base_15_wikiSQL with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("e22vvb/EN_mt5-base_15_wikiSQL") model = AutoModelForSeq2SeqLM.from_pretrained("e22vvb/EN_mt5-base_15_wikiSQL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5fade312379ddff854181cff85fe71ac8614f6a203e7131654c3322d710e5b2b
- Size of remote file:
- 3.71 kB
- SHA256:
- 7c96aef2de87571f47342f30c06ebd19019a7a49d017bcee708f855d7dbd3566
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.