feat: add PassGPT model fine-tuning and training menu integration

Add ability to fine-tune PassGPT models on custom password wordlists.
Models save locally to ~/.hate_crack/passgpt/ with no data uploaded to
HuggingFace (push_to_hub=False, HF_HUB_DISABLE_TELEMETRY=1). The
PassGPT menu now shows available models (default + local fine-tuned)
and a training option. Adds datasets to [ml] deps and passgptTrainingList
config key.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

pyproject.toml

@@ -22,6 +22,7 @@ hate_crack = "hate_crack.__main__:main"
 ml = [
     "torch>=2.0.0",
     "transformers>=4.30.0",
+    "datasets>=2.14.0",
 ]
 dev = [
     "mypy>=1.8.0",