File size: 1,577 Bytes
c809873 1c3e3ea c809873 738eb8a c809873 f3bb368 51c9ff7 c809873 1c3e3ea c809873 cc60b75 7fab8a2 c809873 0c46c44 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 |
---
license: llama3
datasets:
- jpgard/t4-full
language:
- en
---
This repository contains the TabuLa-8B (Tabular Llama-8B) model.
TabuLa-8B is a foundation model for prediction (classification and binned regression) on tabular data.
TabuLa-8B is described in the paper ["Large Scale Transfer Learning for Tabular Data via Language Modeling."](https://arxiv.org/abs/2406.12031)
For more details on the model, see the paper, which includes a Model Card detailing the model architecture, training, and evaluation.
TabuLa-8B was trained with [rtfm](https://github.com/mlfoundations/rtfm),
using the [T4 dataset](https://huggingface.co/datasets/mlfoundations/t4-full).
TabuLa-8B is built with Meta Llama 3.
# Usage and Examples
You can load the model with `transformers` via
```
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("mlfoundations/tabula-8b")
model = AutoModelForCausalLM.from_pretrained("mlfoundations/tabula-8b")
```
For more information on how to prepare data and run inference (including a demo notebook for performing inference on your data), see the examples in [rtfm](https://github.com/mlfoundations/rtfm).
# License and Terms of Use
TabuLa-8B is fine-tuned from the Llama-3 8B model.
As a result, we release it under the [Llama 3 license](https://llama.meta.com/llama3/license/),
and by using the model you agree to abide by the [Llama 3 Community License Agreement](https://llama.meta.com/llama3/license/)
and the Llama 3 [Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).
|