Updated model prefix

README.md

@@ -90,7 +90,7 @@ But it is unclear how well these hyperparameters are transferable to other domai
 <details>
 
 **Note: Why Anserini not PISA?** *Anserini is a production ready lucene based library. Common industry search deployments use Solr or elastic which are lucene based, hence the performance can be comparable. PISA latency is irrelevant for industry as it is a a research only system.*
-The full [anserini evaluation log](https://huggingface.co/DOST/SPLADEplusplus_EN/blob/main/anserini_run.log) with encoding, indexing and querying details are here.
+The full [anserini evaluation log](https://huggingface.co/prithivida/Splade_PP_en_v1/blob/main/anserini_run.log) with encoding, indexing and querying details are here.
 
 - **BEIR ZST OOD performance**: Will be added to the end of page.
 
@@ -140,8 +140,8 @@ sparse_rep = expander.expand(
 import torch
 from transformers import AutoModelForMaskedLM, AutoTokenizer
 
-tokenizer = AutoTokenizer.from_pretrained('DOST/SPLADEplusplus_EN')
-model = AutoModelForMaskedLM.from_pretrained('DOST/SPLADEplusplus_EN')
+tokenizer = AutoTokenizer.from_pretrained('prithivida/Splade_PP_en_v1')
+model = AutoModelForMaskedLM.from_pretrained('prithivida/Splade_PP_en_v1')
 
 sentence = """The Manhattan Project and its atomic bomb helped bring an end to World War II. Its legacy of peaceful uses of atomic energy continues to have an impact on history and science."""