Instructions to use kon172verma/intent-classifier-experiments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kon172verma/intent-classifier-experiments with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
File size: 1,275 Bytes
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library_name: peft
pipeline_tag: intent-classification
license: apache-2.0
tags:
- peft
- lora
- dora
- lora+
- dora
- adalora
- qlora
- text-classification
- intent-classification
---
# Intent Classifier Experiments
This Hugging Face repo stores all experiment-time adapter artifacts for the
intent-classifier project.
## Purpose
- Keep every adapter checkpoint produced during fine-tuning.
- Preserve per-experiment traceability across versions.
- Keep release artifacts separate from experimental artifacts.
## Layout
- v1.0/
- one folder per experiment run
- naming format:
- {model}_{technique}_{config}_{dataset_size}_{YYYYMMDD-HHMMSS}
Each experiment folder can include:
- adapter weights
- tokenizer/config files
- metadata and training outputs
## Related repositories
Training code and release models are maintained separately.
- Training code: <https://github.com/kon172verma/intent-classifier>
- Inference/benchmarking: <https://github.com/kon172verma/intent-classifier-inference>
- Release: <https://huggingface.co/kon172verma/intent-classifier>
## Versioning
Experiment folders are grouped by release version (for example, v1.0).
When a version is finalized, only selected best models are promoted to the
release repo.
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