Instructions to use Satish678/tenjinonline-text2sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Satish678/tenjinonline-text2sql with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Satish678/tenjinonline-text2sql") model = AutoModelForSeq2SeqLM.from_pretrained("Satish678/tenjinonline-text2sql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Satish678/tenjinonline-text2sql: direct link, hf CLI and curl.
- Browser
- Download file 3.13 GB
-
https://huggingface.co/Satish678/tenjinonline-text2sql/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Satish678/tenjinonline-text2sql/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Satish678/tenjinonline-text2sql/resolve/main/pytorch_model.bin
3.13 GB
- Xet hash:
- e94cb2ca207a6bbf5d0287cd12ecba888de27f87d19f5516e14fd337a2eb56ee
- Size of remote file:
- 3.13 GB
- SHA256:
- bb44294b5aa2c07ccb95cc4b11b5434034ccf1e6b1b09ac40771be9de3a91b7e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.