diff --git a/rxnfp/models.py b/rxnfp/models.py
index d79c69e..cd1ac10 100644
--- a/rxnfp/models.py
+++ b/rxnfp/models.py
@@ -12,7 +12,6 @@
 import logging
 import random
 import warnings
-import pkg_resources
 import sklearn
 
 from transformers import (
@@ -562,4 +561,4 @@ def __init__(
                     continue
                 elif 'pooler' in name:
                     continue
-                param.requires_grad = False
\ No newline at end of file
+                param.requires_grad = False
diff --git a/rxnfp/tokenization.py b/rxnfp/tokenization.py
index 986c659..c160307 100644
--- a/rxnfp/tokenization.py
+++ b/rxnfp/tokenization.py
@@ -10,8 +10,7 @@
 import re
 import numpy as np
 from rdkit import Chem
-
-import pkg_resources
+from importlib.resources import files
 
 from typing import List
 
@@ -21,11 +20,8 @@
 SMI_REGEX_PATTERN =  r"(\%\([0-9]{3}\)|\[[^\]]+]|Br?|Cl?|N|O|S|P|F|I|b|c|n|o|s|p|\||\(|\)|\.|=|#|-|\+|\\|\/|:|~|@|\?|>>?|\*|\$|\%[0-9]{2}|[0-9])"
 
 def get_default_tokenizer():
-    default_vocab_path = (
-        pkg_resources.resource_filename(
-                    "rxnfp",
-                    "models/transformers/bert_ft_10k_25s/vocab.txt"
-                )
+    default_vocab_path = str(
+        files("rxnfp") / "models/transformers/bert_ft_10k_25s/vocab.txt"
     )
     return SmilesTokenizer(default_vocab_path, do_lower_case=False)
 
@@ -150,4 +146,4 @@ def process_reaction(rxn):
 
     joined_precursors = ".".join(sorted(precursors))
     joined_products = ".".join(sorted(products))
-    return f"{joined_precursors}>>{joined_products}"
\ No newline at end of file
+    return f"{joined_precursors}>>{joined_products}"
diff --git a/rxnfp/transformer_fingerprints.py b/rxnfp/transformer_fingerprints.py
index 83fbee6..fdcbe65 100644
--- a/rxnfp/transformer_fingerprints.py
+++ b/rxnfp/transformer_fingerprints.py
@@ -5,8 +5,8 @@
 
 # Cell
 import torch
-import pkg_resources
 import numpy as np
+from importlib.resources import files
 from typing import List
 from tqdm import tqdm
 from itertools import islice
@@ -109,16 +109,10 @@ def convert_batch(self, rxn_smiles_list: List[str]):
 
 def get_default_model_and_tokenizer(model='bert_ft', force_no_cuda=False):
 
-    model_path =  pkg_resources.resource_filename(
-                "rxnfp",
-                f"models/transformers/{model}"
-            )
+    model_path = str(files("rxnfp") / f"models/transformers/{model}")
 
-    tokenizer_vocab_path = (
-        pkg_resources.resource_filename(
-                    "rxnfp",
-                    f"models/transformers/{model}/vocab.txt"
-                )
+    tokenizer_vocab_path = str(
+        files("rxnfp") / f"models/transformers/{model}/vocab.txt"
     )
     device = torch.device("cuda" if (torch.cuda.is_available() and not force_no_cuda) else "cpu")
 
@@ -142,4 +136,4 @@ def generate_fingerprints(rxns: List[str], fingerprint_generator:FingerprintGene
         fps_batch = fingerprint_generator.convert_batch(batch)
 
         fps += fps_batch
-    return np.array(fps)
\ No newline at end of file
+    return np.array(fps)
diff --git a/settings.ini b/settings.ini
index c3b5b1e..3fddfc3 100644
--- a/settings.ini
+++ b/settings.ini
@@ -9,13 +9,13 @@ author_email = phs@zurich.ibm.com
 copyright = RXN for Chemistry team / University of Bern
 branch = master
 version = 0.1.0
-min_python = 3.6
+min_python = 3.9
 audience = Developers
 language = English
 custom_sidebar = True
 license = mit
 status = 2
-requirements = transformers>=4.5.0 torch>=1.6 scipy==1.4.1 scikit-learn==0.23.1  matplotlib==3.2.2 faerun==0.3.20
+requirements = transformers torch scipy scikit-learn matplotlib faerun
 nbs_path = nbs
 doc_path = docs
 doc_host = https://rxn4chemistry.github.io
diff --git a/setup.py b/setup.py
index 6975698..b031a77 100644
--- a/setup.py
+++ b/setup.py
@@ -1,7 +1,7 @@
-from pkg_resources import parse_version
+from packaging.version import Version
 from configparser import ConfigParser
 import setuptools
-assert parse_version(setuptools.__version__)>=parse_version('36.2')
+assert Version(setuptools.__version__) >= Version("36.2")
 
 # note: all settings are in settings.ini; edit there, not here
 config = ConfigParser(delimiters=['='])
@@ -19,7 +19,7 @@
 }
 statuses = [ '1 - Planning', '2 - Pre-Alpha', '3 - Alpha',
     '4 - Beta', '5 - Production/Stable', '6 - Mature', '7 - Inactive' ]
-py_versions = '2.0 2.1 2.2 2.3 2.4 2.5 2.6 2.7 3.0 3.1 3.2 3.3 3.4 3.5 3.6 3.7 3.8'.split()
+py_versions = "2.0 2.1 2.2 2.3 2.4 2.5 2.6 2.7 3.0 3.1 3.2 3.3 3.4 3.5 3.6 3.7 3.8 3.9 3.10 3.11 3.12".split()
 
 requirements = cfg.get('requirements','').split()
 lic = licenses[cfg['license']]
@@ -45,4 +45,3 @@
     zip_safe = False,
     entry_points = { 'console_scripts': cfg.get('console_scripts','').split() },
     **setup_cfg)
-