Add widget musical example, recognition to dr. Tristan and link to notebook to listen to the results of the model.

README.md

@@ -4,6 +4,9 @@ tags:
 model-index:
 - name: juancopi81/mutopia_guitar_mmm
   results: []
+widget:
+- text: "PIECE_START TIME_SIGNATURE=2_4 BPM=100 TRACK_START INST=0 DENSITY=2 BAR_START NOTE_ON=44"
+  example_title: "Time signature 2/4, BPM=100"
 ---
 
 <!-- This model card has been generated automatically according to the information Keras had access to. You should
@@ -11,7 +14,9 @@ probably proofread and complete it, then remove this comment. -->
 
 # juancopi81/mutopia_guitar_mmm
 
-This model was trained from scratch on an unknown dataset.
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the [Mutopia Guitar Dataset](https://huggingface.co/datasets/juancopi81/mutopia_guitar_dataset). Use the widget to generate your piece and then use [this notebook](https://colab.research.google.com/drive/14vlJwCvDmNH6SFfVuYY0Y18qTbaHEJCY?usp=sharing) to hear it (work in progress). 
+The notebook is adapted from [the one created by Dr. Tristan Behrens](https://huggingface.co/TristanBehrens/js-fakes-4bars).
+
 It achieves the following results on the evaluation set:
 - Train Loss: 0.7588
 - Validation Loss: 1.3974