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
| --extra-index-url https://download.pytorch.org/whl/cu126 | |
| accelerate==1.13.0 | |
| datasets==4.8.5 | |
| numpy==2.4.5 | |
| onnx==1.21.0 | |
| onnxruntime==1.26.0 | |
| onnxscript==0.7.0 | |
| seqeval==1.2.2 | |
| tensorboard>=2.14.0 | |
| torch==2.12.0+cu126 | |
| transformers==5.8.1 | |