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")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ModerRAS/AniFileBERT") model = AutoModelForTokenClassification.from_pretrained("ModerRAS/AniFileBERT") - Notebooks
- Google Colab
- Kaggle
| __pycache__/ | |
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| checkpoints/ | |
| test_checkpoints*/ | |
| ab_checkpoints*/ | |
| *.log | |
| *.onnx.data | |
| docs/training_notes.md | |
| data/**/*.jsonl | |
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| !data/test_smoke.jsonl | |
| data/**/*.db | |
| data/**/*.sqlite | |
| data/generated/ | |
| reports/generated/ | |
| target/ | |
| **/target/ | |