Token Classification
Transformers
ONNX
Safetensors
English
Japanese
Chinese
bert
anime
filename-parsing
Eval Results (legacy)
Instructions to use ModerRAS/AniFileBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModerRAS/AniFileBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ModerRAS/AniFileBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ModerRAS/AniFileBERT") model = AutoModelForTokenClassification.from_pretrained("ModerRAS/AniFileBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Clarify generated training artifacts
0944d16 -
Close schema v2 anime parser release
67d8016
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Simplify title-boundary title span heuristic
b7f5465
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Document and tighten DMHY template labels
d92b315
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chore: checkpoint current training and manual relabel progress
efb213a
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Add path-aware focus dataset support
1e1bc1f
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Train virtual-shard anime parser
359ff82
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Train augmented anime filename parser
be6a29a
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Organize parser modules and tools
8c50d16 -
Remove structural parser rule assists
116c87c -
Train thin anime filename parser
f712f4b
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Add inference performance benchmark
ce3a60d -
Polish Hugging Face repository docs
376db19