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
-
Close schema v2 anime parser release
67d8016
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Publish schema v2 default checkpoint
a0490a8
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Update relabel artifacts and pathfix export
5af16a8
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Train virtual-shard anime parser
359ff82
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Train augmented anime filename parser
be6a29a
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Train thin anime filename parser
f712f4b
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Clean special code parsing
e8412e3 -
Fix GM-Team bilingual title parsing
adf92db -
Improve anime filename parser model
e63569d
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重新训练模型,补充训练结果
24a2cb6
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Add AniFileBERT model and training project
Publish the fine-tuned filename parser checkpoint, training/export scripts, documentation, and a nested AnimeName dataset submodule.be5f706