merge conflict on readme

README.md

@@ -1,29 +1,6 @@
 ---
-<<<<<<< HEAD
 license: apache-2.0
-datasets:
-- ctheodoris/Genecorpus-30M
----
-The TDC Model Hub Transformers API is under development. In the meantime, we highly recommend using the native HF Transformers library and original Geneformer repo to run inference.
-
-```python
-# Use a pipeline as a high-level helper
-from transformers import pipeline
-
-pipe = pipeline("fill-mask", model="ctheodoris/Geneformer")
-```
-```python
-# Load model directly
-from transformers import AutoTokenizer, AutoModelForMaskedLM
-
-tokenizer = AutoTokenizer.from_pretrained("ctheodoris/Geneformer")
-model = AutoModelForMaskedLM.from_pretrained("ctheodoris/Geneformer")
-```
-
-For further details see: https://huggingface.co/ctheodoris/Geneformer 
-=======
 datasets: ctheodoris/Genecorpus-30M
-license: apache-2.0
 tags:
 - single-cell
 - genomics
@@ -115,4 +92,3 @@ Please note that GPU resources are required for efficient usage of Geneformer. A
 # Citations
 - C V Theodoris#, L Xiao, A Chopra, M D Chaffin, Z R Al Sayed, M C Hill, H Mantineo, E Brydon, Z Zeng, X S Liu, P T Ellinor#. Transfer learning enables predictions in network biology. _**Nature**_, 31 May 2023. (#co-corresponding authors)
 - H Chen*, M S Venkatesh*, J Gomez Ortega, S V Mahesh, T Nandi, R Madduri, K Pelka†, C V Theodoris†#. Quantized multi-task learning for context-specific representations of gene network dynamics. _**bioRxiv**_, 19 Aug 2024. (*co-first authors, †co-senior authors, #corresponding author)
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