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
-
Simplify title-boundary title span heuristic
b7f5465 -
Parallelize Pi RPC title-boundary reviews
f2c565a -
Add Pi RPC title-boundary reviewer backend
fb3fd2d -
Tighten LM Studio title-boundary prompt
94dfb39 -
Include title position literals in Rust recipes
836bd54 -
Use direct local HTTP for LM Studio reviewer
74e919a -
Add Rust LM Studio title-boundary reviewer
b689df8 -
Add Rust template title span metadata
8c1da73
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Implement schema v2 anime filename labels
ed49faa
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Document and tighten DMHY template labels
d92b315
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Tighten DMHY template label heuristics
f484458 -
Refine high-frequency DMHY labels
b7152ef -
Refine DMHY bonus labeling cases
acafd67 -
Improve DMHY low-frequency metadata handling
299b1af -
Tighten DMHY low-frequency special cases
f9e69dd -
Refine low-frequency DMHY labeling rules
aa41de9 -
Improve DMHY template labeling pipeline
59042eb -
Verify low-frequency DMHY generated output
93f322e -
Add low-frequency DMHY audit gate
494b24c -
Refine DMHY template labeling rules
79b4d87 -
Add Rust DMHY template clustering
736c211 -
Add Rust DMHY template recipe applier
7f87a1d