* Add Arcee model support to transformers
- Add ArceeConfig and model mappings for all task types (CausalLM, SequenceClassification, QuestionAnswering, TokenClassification)
- Add auto-loading support through AutoModel, AutoConfig, and AutoTokenizer
- Use LlamaTokenizer for tokenization
- Add FX graph support for Arcee models
- Create lazy loading module structure for Arcee
* feat: update YARN scaling and RoPE validation for Arcee model
* feat: add auto_docstring checkpoint config to Arcee model classes
* docs: add pre-trained model weights reference to Arcee configuration files
* refactor: move RoPE utilities to dedicated modeling_rope_utils module
* Add comprehensive test suite for Arcee model
- Add test_modeling_arcee.py following standard transformers test patterns
- Include tests for all model variants (CausalLM, SequenceClassification, QuestionAnswering, TokenClassification)
- Add specific test for ReLU² activation in ArceeMLP
- Add RoPE scaling tests including YARN support
- Follow CausalLMModelTest pattern used by similar models
* Add documentation for Arcee model
- Add comprehensive model documentation with usage examples
- Include all model variants in autodoc
- Add to table of contents in proper alphabetical order
- Fixes documentation coverage for Arcee model classes
* Make style/fixup
* fix copyright year
* Sync modular conversion
* revert in legacy supported models in src/transformers/utils/fx
* cleaned redundant code in modular_arcee.py
* cleaned testing
* removed pretraining tp
* fix styles
* integration testing
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Co-authored-by: Pranav <veldurthipranav@gmail.com>
Co-authored-by: Pranav <56645758+pranav4501@users.noreply.github.com>
