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
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fix(dataset): repair training-set alignment + relabel teneighty as GROUP; add Rust repair tool
d8ddb0b
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Add Rust encoded dataset cache
c705a32
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Ignore generated reports
01e4424
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Train virtual-shard anime parser
359ff82
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Train augmented anime filename parser
be6a29a
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Clean stale local scripts
f95ce71
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Polish Hugging Face repository docs
376db19
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Improve anime filename parser model
e63569d
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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