add model card + Gemma license notice

README.md

@@ -1,32 +1,14 @@
 ---
 license: gemma
-library_name: pytorch
-pipeline_tag: tabular-regression
-tags:
-  - regression
-  - text-to-number
 ---
 
-# temp_vin
+These weights are derived from Gemma (T5Gemma encoder). Your use is governed by
+the Gemma Terms of Use and the Gemma Prohibited Use Policy:
 
-A compact encoder–decoder checkpoint for calibrated numeric prediction from
-unstructured text — it outputs a number with an uncertainty estimate.
-
-## License & use restrictions
-
-This checkpoint is built on a **T5Gemma** encoder and is therefore a
-**derivative of Gemma**. Use of these weights is governed by the **Gemma Terms
-of Use** and the **Gemma Prohibited Use Policy**:
-
-- Gemma Terms of Use — <https://ai.google.dev/gemma/terms>
-- Gemma Prohibited Use Policy — <https://ai.google.dev/gemma/prohibited_use_policy>
+- <https://ai.google.dev/gemma/terms>
+- <https://ai.google.dev/gemma/prohibited_use_policy>
 
 > Gemma is provided under and subject to the Gemma Terms of Use found at
 > <https://ai.google.dev/gemma/terms>
 
-By downloading or using these weights you agree to those terms, including the
-use restrictions. If you redistribute the weights or any derivative, you must
-pass these terms on.
-
-The accompanying model code is derived from RegressLM
-(<https://github.com/google-deepmind/regress-lm>), licensed under Apache-2.0.
+If you redistribute these weights or any derivative, you must pass on these terms.