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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Simplify title-boundary title span heuristic
b7f5465 -
Parallelize Pi RPC title-boundary reviews
f2c565a -
Add local training status helper
0df0bf9 -
Add Rust cached synthetic training runner
a61b883 -
Document synthetic hard-focus training recipe
95246c7 -
Add Rust schema v2 synthetic augmentation
d87ba32
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Add Rust encoded dataset cache
c705a32
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Organize parser modules and tools
8c50d16
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Remove stale diagnostics reports
76e084f
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Add Codex Colab training workflow
e458112 -
Add agent repository guidelines
beb8c7e