diff --git a/README.md b/README.md
index 4faa61f..ef93e9f 100644
--- a/README.md
+++ b/README.md
@@ -22,6 +22,7 @@ pip install "git+https://github.com/TakoData/QueryFilter.git#egg=tako-query-filt
 
 ### Prerequisites
 - Get access to Tako Hugging Face repositories
+- Install and init `git-lfs`
 - Log into Hugging Face using `huggingface-cli login`
 
 ### Examples
diff --git a/pyproject.toml b/pyproject.toml
index b77dda0..7954a54 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -13,7 +13,7 @@ joblib = "1.4.2"
 jupyter = "1.1.1"
 nbstripout = "0.7.1"
 numpy = "1.26.4"
-python = ">=3.10.14,<4.0"
+python = ">=3.10.14,<3.13"
 scikit-learn = "1.4.1.post1"
 sentence-transformers = {version = "3.0.1", optional = true}
 spacy = {version = "3.7.5"}
diff --git a/src/tako_query_filter/filter.py b/src/tako_query_filter/filter.py
index 42d0d47..e23a1b4 100644
--- a/src/tako_query_filter/filter.py
+++ b/src/tako_query_filter/filter.py
@@ -6,7 +6,7 @@
 import numpy as np
 from typing import Iterable, List, Optional, Set
 from sklearn.linear_model import LogisticRegressionCV
-from huggingface_hub import hf_hub_download
+from huggingface_hub import hf_hub_download, snapshot_download
 import spacy
 from spacy.language import Language
 
@@ -40,13 +40,11 @@ def load_from_hf(
                 force_download=force_download,
             )
         )
-        spacy_model_path = hf_hub_download(
+        spacy_model_dir = snapshot_download(
             repo_id="TakoData/ner-model-best",
-            filename="config.cfg",
             revision=spacy_revision,
             force_download=force_download,
         )
-        spacy_model_dir = str(Path(spacy_model_path).parent)
         spacy_model = spacy.load(spacy_model_dir)
         keywords_file = hf_hub_download(
             repo_id=scikit_path,