Instructions to use DebeshSahoo/text2sql-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DebeshSahoo/text2sql-finetune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DebeshSahoo/text2sql-finetune")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DebeshSahoo/text2sql-finetune") model = AutoModelForSeq2SeqLM.from_pretrained("DebeshSahoo/text2sql-finetune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download Models/generation_config.json from DebeshSahoo/text2sql-finetune: direct link, hf CLI and curl.
- Browser
- Download file 142 Bytes
-
https://huggingface.co/DebeshSahoo/text2sql-finetune/resolve/main/Models/generation_config.json
- Command line
-
hf download hf://DebeshSahoo/text2sql-finetune/Models/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/DebeshSahoo/text2sql-finetune/resolve/main/Models/generation_config.json
142 Bytes
| { | |
| "_from_model_config": true, | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 1, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.29.2" | |
| } | |