GitLab

* fix(examples): te_llama compatibility with HuggingFace transformers >= 4.57

The te_llama.py example was failing with HuggingFace transformers 4.57+
due to API changes in how decoder layer outputs are handled.

Changes:
- Handle case where hidden_states is passed as a tuple (older HF versions)
- Return tensor directly instead of wrapped in tuple (HF 4.57+ expects this)
- Fix regex pattern to use raw string (fixes SyntaxWarning)

Error fixed:
  AttributeError: 'tuple' object has no attribute 'contiguous'

Tested with:
- transformer_engine 2.5.0
- transformers 4.57.3
- PyTorch container nvcr.io/nvidia/pytorch:25.08-py3
Signed-off-by: Santosh Bhavani <santosh.bhavani@live.com>

* docs(te_llama): add requirements.txt
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* fix(docs): add missing notebook output names
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