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Ellight/SmolLM2-135M-text-to-sql

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face

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Model Card

Model Card for SmolLM2-135M-text-to-sql

This model is a fine-tuned version of HuggingFaceTB/SmolLM2-135M. The model has been finetuned on sql-create-context dataset for 1 epoch. It has been trained using TRL.

Quick start

python

from transformers import pipeline

question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
generator = pipeline("text-generation", model="Ellight/SmolLM2-135M-text-to-sql", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])

Training procedure

This model was trained with SFT.

Framework versions

—TRL: 0.12.1
—Transformers: 4.46.3
—Pytorch: 2.4.0
—Datasets: 3.0.1
—Tokenizers: 0.20.0

Citations

Cite TRL as:

bibtex

@misc{vonwerra2022trl,
	title        = {{TRL: Transformer Reinforcement Learning}},
	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
	year         = 2020,
	journal      = {GitHub repository},
	publisher    = {GitHub},
	howpublished = {\url{https://github.com/huggingface/trl}}
}