Instructions to use mrm8488/t5-base-finetuned-wikiSQL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/t5-base-finetuned-wikiSQL with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/t5-base-finetuned-wikiSQL") model = AutoModelForSeq2SeqLM.from_pretrained("mrm8488/t5-base-finetuned-wikiSQL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42b056b75489796d282414f11b1a65d16b5cfe6c8ead0821ab85f0c8b9fc2111
- Size of remote file:
- 1.19 GB
- SHA256:
- 7c5de37d467b5eb4d219d4e46bd1c0566b707d241ddc8b4d53bd847f1156b0be
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.