Instructions to use e22vvb/EN_t5-base_5_wikiSQL_sch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use e22vvb/EN_t5-base_5_wikiSQL_sch with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("e22vvb/EN_t5-base_5_wikiSQL_sch") model = AutoModelForSeq2SeqLM.from_pretrained("e22vvb/EN_t5-base_5_wikiSQL_sch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 011258509b5bcb0fa6709469c3847d0e623584f675358017fe5f879308c1f5b6
- Size of remote file:
- 4.92 kB
- SHA256:
- 561b7d13f91875de03019f87ff35298ec815996fe60136de1f1aa0a03f6338bd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.