38 lines
1.5 KiB
Markdown
38 lines
1.5 KiB
Markdown
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---
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license: llama3
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datasets:
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- jpgard/t4-full
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language:
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- en
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---
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This repository contains the TabuLa-8B (Tabular Llama-8B) model.
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TabuLa-8B is a foundation model for prediction (classification and binned regression) on tabular data.
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TabuLa-8B is described in the paper ["Large Scale Transfer Learning for Tabular Data via Language Modeling."](https://arxiv.org/abs/2406.12031)
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For more details on the model, see the paper, which includes a Model Card detailing the model architecture, training, and evaluation.
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TabuLa-8B was trained with [rtfm](https://github.com/mlfoundations/rtfm),
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using the [T4 dataset](https://huggingface.co/datasets/mlfoundations/t4-full).
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TabuLa-8B is built with Meta Llama 3.
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# Usage and Examples
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You can load the model with `transformers` via
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```
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("mlfoundations/tabula-8b")
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model = AutoModelForCausalLM.from_pretrained("mlfoundations/tabula-8b")
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```
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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).
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# License and Terms of Use
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TabuLa-8B is fine-tuned from the Llama-3 8B model.
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As a result, we release it under the [Llama 3 license](https://llama.meta.com/llama3/license/),
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and by using the model you agree to abide by the [Llama 3 Community License Agreement](https://llama.meta.com/llama3/license/)
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and the Llama 3 [Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).
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