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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." |
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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, 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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