Push model using huggingface_hub.

README.md

@@ -3,13 +3,7 @@ tags:
 - model_hub_mixin
 - pytorch_model_hub_mixin
 ---
----
-
-# segment-enformer
-
-SegmentEnformer is a segmentation model leveraging [Enformer](https://www.nature.com/articles/s41592-021-01252-x) to predict the location of several types of genomics 
-elements in a sequence at a single nucleotide resolution. It was trained on 14 different classes, including gene (protein-coding genes, lncRNAs, 5’UTR, 3’UTR, exon, intron, splice acceptor and donor sites) and regulatory (polyA signal, tissue-invariant and 
-tissue-specific promoters and enhancers, and CTCF-bound sites) elements.
-
 
-**Developed by:** [InstaDeep](https://huggingface.co/InstaDeepAI)
+This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
+- Library: [More Information Needed]
+- Docs: [More Information Needed]

config.json

@@ -16,5 +16,6 @@
     "enhancer_Tissue_invariant",
     "promoter_Tissue_specific",
     "promoter_Tissue_invariant"
-  ]
+  ],
+  "model_type": "esm"
 }