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 training_args.bin from Satish678/tenjinonline-text2sql: direct link, hf CLI and curl.
- Browser
- Download file 4.08 kB
-
https://huggingface.co/Satish678/tenjinonline-text2sql/resolve/main/training_args.bin
- Command line
-
hf download hf://Satish678/tenjinonline-text2sql/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Satish678/tenjinonline-text2sql/resolve/main/training_args.bin
4.08 kB
- Xet hash:
- 8e9adb7c19ec7f1e590c538b4dc83bb0f189700dc31d4f70478af4684b3ca8f5
- Size of remote file:
- 4.08 kB
- SHA256:
- 0ba1391bfcf0a59ae83cd41d9c01e5c42d52ac93a6c693f037cca098e99fb7d1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.