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Browse files- README.md +50 -1
- category.pkl +3 -0
README.md
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---
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-
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---
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---
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library_name: scikit-learn
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tags:
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- jobs
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- classification
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- tf-idf
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pipeline_tag: text-classification
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---
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# Jobs job-category classifier (sklearn)
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This repo holds the trained artifact used by the **jobs-ai-shared** package
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(`jobs_ai_shared.library.categorize`) for the findjobs taxonomy.
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- **Weights:** `category.pkl` — pickled scikit-learn `Pipeline` (`TfidfVectorizer` +
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`LogisticRegression`), plus artifact keys `fields` and `input_joiner`.
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- **Upstream:** Produced by ``scripts/train/train_category.py``.
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- **HF repo:** `gateswang00/job_classifier`
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### Load locally
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```python
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import pickle
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from huggingface_hub import hf_hub_download
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path = hf_hub_download(repo_id="gateswang00/job_classifier", filename="category.pkl")
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with open(path, "rb") as f:
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artifact = pickle.load(f)
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clf = artifact["model"] # sklearn Pipeline
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fields = artifact.get("fields", ["title", "llm_skills", "description"])
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print(fields)
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```
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### Training metadata snapshot
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```
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categorizer_filter: ['qwen2.5:7b', 'qwen3-jobs-classifier']
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categorizer_mix: {'qwen2.5:7b': 8086}
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category_source_filter: "category_source IS DISTINCT FROM 'rules'"
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category_source_mix: {'(null)': 8167}
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llm_skills_coverage: 0.7056641108088053
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min_per_class: 50
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n_classes: 14
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n_rows: 8086
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random_state: 42
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source: 'jobs.job_categorized JOIN jobs.jobs_found LEFT JOIN LATERAL jobs.job_extracted'
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test_size: 0.2
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trained_at: '2026-05-23T05:57:02.189546+00:00'
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```
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Replace this README’s license/frontmatter via the Hugging Face model card UI if needed.
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category.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:8e493e3c74f0a924e0011057c095eaa482e4f80265c63108603dcc90b9d5cf9c
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size 9371220
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