Instructions to use simpliTax/category-v9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simpliTax/category-v9 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="simpliTax/category-v9")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("simpliTax/category-v9") model = AutoModelForSequenceClassification.from_pretrained("simpliTax/category-v9", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- final/training_manifest.json +15 -0
final/training_manifest.json
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{
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"base_model": "simpliTax/bert-automap-pbt-fine-tuned",
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"created_at": "2026-08-21T11:39:11+00:00",
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"holdout": "strict",
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"n_labels": 255,
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"n_train": 11802,
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"n_val": 1311,
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"repo_git_sha": null,
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"reserved_tenants": [],
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"seed": 13,
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"snapshot_hash": "87246dd60c50d0b4",
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"source_file": "training_data/category.snapshot.jsonl",
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"taxonomy_hash": "5785a0dab11308c3",
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"thin_class_threshold": 0
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}
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