Update README.md

README.md

@@ -7,6 +7,8 @@ tags:
 - retrieval
 - search
 - sparse
+datasets:
+- mteb/nq
 ---
 
 # Splade-Index
@@ -32,20 +34,17 @@ pip install huggingface_hub
 You can use the following code to load this SPLADE index from Hugging Face hub:
 
 ```python
-import os
 from sentence_transformers import SparseEncoder
 from splade_index import SPLADE
 
 # Download the SPLADE model that was used to create the index from the HuggingFace Hub
-model_id = "the-splade-model-id" # Enter the splade model id
+model_id = "rasyosef/splade-tiny" # The splade model id
 model = SparseEncoder(model_id)
 
-# Set your huggingface token if repo is private
-token = os.environ["HF_TOKEN"]
 repo_id = "rasyosef/natural_questions_3m_splade_index"
 
 # Load a SPLADE index from the Hugging Face model hub
-retriever = SPLADE.load_from_hub(repo_id, model=model, token=token)
+retriever = SPLADE.load_from_hub(repo_id, model=model)
 ```
 
 ## Stats
@@ -56,5 +55,4 @@ This dataset was created using the following data:
 | --- | --- |
 | Number of documents | 2681468 |
 | Number of tokens | 464573223 |
-| Average tokens per document | 173.25 |
-
+| Average tokens per document | 173.25 |