Use CUDA and update packages.

Author: averms

pyproject.toml

@@ -1,35 +1,36 @@
 [project]
-name = "transformers_for_sentiment_analysis"
+name = "transformers-for-sentiment-analysis"
 version = "0.1.0"
 readme = "README.md"
 requires-python = ">=3.12"
 dependencies = [
     "datasets>=3.1.0",
     "polars>=1.17.1",
-    "torch>=2.5.1",
-    "transformers>=4.47.0",
+    "transformers[torch]>=4.47.0",
 ]
 
-[[tool.uv.index]]
-name = "pytorch-cpu"
-url = "https://download.pytorch.org/whl/cpu"
-explicit = true
-
-[tool.uv.sources]
-torch = [{ index = "pytorch-cpu", marker = "platform_system != 'Darwin'" }]
+# [[tool.uv.index]]
+# name = "pytorch-cpu"
+# url = "https://download.pytorch.org/whl/cpu"
+# explicit = true
+#
+# [tool.uv.sources]
+# torch = [{ index = "pytorch-cpu", marker = "platform_system != 'Darwin'" }]
 
 [tool.ruff.lint]
 select = ["ALL"]
 ignore = [
     # print is fine
     "T201",
-    # conflicts with D211
-    "D203",
-    # conflicts with D213
-    "D213",
     # documentation is hard
     "D100",
     "D103",
+    # noise
+    "TC002",
+    # conflicts with D211
+    "D203",
+    # conflicts with D212
+    "D213",
     # can't be used with formatter
     "COM812",
     "ISC001",