diff --git a/pyproject.toml b/pyproject.toml
index f51575c345724adad021d889b42f4e7a9cafeafc..eaed4a6deed3ef59646f2158fc25a08b5039887d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,29 +4,28 @@ build-backend = "hatchling.build"
 
 [project]
 name = "lambo"
-version = "2.0.0"
+version = "2.1.0"
 authors = [
   { name="Piotr Przybyła", email="piotr.przybyla@ipipan.waw.pl" },
 ]
 description = "A multi-lingual text segmentation tool/"
 readme = "README.md"
-requires-python = ">=3.6.9"
+requires-python = ">=3.10"
 classifiers = [
     "Programming Language :: Python :: 3",
     "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
     "Operating System :: OS Independent",
 ]
 dependencies = [
-  'torch >= 1.7.1, < 2',
-  'importlib-resources >= 3.3.0, < 6',
-  'requests >= 2.22.0, < 3',
-  'tqdm >= 4.43.0, < 5',
-  'urllib3 >= 1.22, <2',
-  'numpy >= 1.21.0, < 2',
+  'torch >= 2.1, < 3',
+  'requests >= 2.31, < 3',
+  'tqdm >= 4.31, < 5',
+  'urllib3 >= 1.26.18, <2',
+  'numpy >= 1.23, < 2',
 ]
 
 [project.optional-dependencies]
-spacy = [ 'spacy >= 3.0.3, < 4', ]
+spacy = [ 'spacy >= 3.5.3, < 4', ]
 
 
 [project.urls]
diff --git a/src/lambo/examples/run_evaluation.py b/src/lambo/examples/run_evaluation.py
index 2fdfbe173411a88bcdf90efb8bfa4d56f6d679d8..1ca8e2b6921415ee5a387978ff6434c1505c992f 100644
--- a/src/lambo/examples/run_evaluation.py
+++ b/src/lambo/examples/run_evaluation.py
@@ -3,7 +3,7 @@ Evaluation of available model by comparing to UD gold standard
 """
 from pathlib import Path
 
-import importlib_resources as resources
+import importlib.resources as resources
 
 from lambo.evaluation.evaluate import evaluate_segmenter
 from lambo.segmenter.lambo import Lambo
diff --git a/src/lambo/examples/run_pretraining.py b/src/lambo/examples/run_pretraining.py
index 2c724f408b35a8d8f964f4087fdf00fd91ead4ea..d0c4f621a221c480982a2b84174de559a319f9e2 100644
--- a/src/lambo/examples/run_pretraining.py
+++ b/src/lambo/examples/run_pretraining.py
@@ -4,7 +4,7 @@ Script from pretraining models using OSCAR corpora
 import gzip
 from urllib.error import HTTPError
 
-import importlib_resources as resources
+import importlib.resources as resources
 from pathlib import Path
 
 import torch
diff --git a/src/lambo/examples/run_training.py b/src/lambo/examples/run_training.py
index 5676f365d2049fce86349966c1882fd59d3c6f6e..7e93e59d4e4c24a31b4fec9011510792ec991336 100644
--- a/src/lambo/examples/run_training.py
+++ b/src/lambo/examples/run_training.py
@@ -3,7 +3,7 @@ Script for training LAMBO models using UD data
 """
 import sys
 
-import importlib_resources as resources
+import importlib.resources as resources
 from pathlib import Path
 
 import torch
diff --git a/src/lambo/examples/run_training_pretrained.py b/src/lambo/examples/run_training_pretrained.py
index 9cc6b2bb0be8df0aafe09032d4b503458d5b2bc3..471251a0fea5a57548d514b6c3dcc45bc2a06e1e 100644
--- a/src/lambo/examples/run_training_pretrained.py
+++ b/src/lambo/examples/run_training_pretrained.py
@@ -4,7 +4,7 @@ Script for training LAMBO models using UD data from pretrained
 import sys
 from pathlib import Path
 
-import importlib_resources as resources
+import importlib.resources as resources
 import torch
 
 from lambo.learning.train import train_new_and_save, train_pretrained_and_save
diff --git a/src/lambo/examples/run_training_splitting.py b/src/lambo/examples/run_training_splitting.py
index 038c17d3477d736c9f6756d3f104454cd037f90c..0b0cf0c6075094a92ce53695dab9e3c9dc9ffedc 100644
--- a/src/lambo/examples/run_training_splitting.py
+++ b/src/lambo/examples/run_training_splitting.py
@@ -4,7 +4,7 @@ Script for training LAMBO subword splitting models using UD data from pretrained
 import time, sys
 from pathlib import Path
 
-import importlib_resources as resources
+import importlib.resources as resources
 import torch
 
 from lambo.segmenter.lambo import Lambo
diff --git a/src/lambo/segmenter/lambo.py b/src/lambo/segmenter/lambo.py
index e481fb973f0920b74508fd34d27014c8f55126af..7e8e6346772b3ce61af9ea903cd430af99b54586 100644
--- a/src/lambo/segmenter/lambo.py
+++ b/src/lambo/segmenter/lambo.py
@@ -1,6 +1,6 @@
 import re
 
-import importlib_resources as resources
+import importlib.resources as resources
 import torch
 
 from lambo.data.document import Document
diff --git a/src/lambo/utils/special_tokens.py b/src/lambo/utils/special_tokens.py
index 9b06bf75ccb8eb6e3bb800106e2a4e3e1b030be9..1a3106b8d24cabd35402273b06cbacdfb8608696 100644
--- a/src/lambo/utils/special_tokens.py
+++ b/src/lambo/utils/special_tokens.py
@@ -5,7 +5,7 @@ Detects special tokens, i.e. text fragments that should always be included in a
 """
 import re
 
-import importlib_resources as resources
+import importlib.resources as resources
 
 emoji_file_str = resources.read_text('lambo.resources', 'emoji.tab', encoding='utf-8', errors='strict')
 emojis = [line.split('\t')[0] for line in emoji_file_str.split('\n') if len(line) > 0]