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
- Xet hash:
- 27653b759fbb3b6a68a774d6de7d2272341ab06681f9e00e34b4939cbffe2db3
- Size of remote file:
- 242 MB
- SHA256:
- 1c1750bdca2af2fdde00b08608fae6f93ba934a3c5a935c47aa89ba9ff014108
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