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
| { | |
| "wall_seconds": 436.6158034801483, | |
| "rows_processed": 1000, | |
| "rows_per_second": 2.2903431163720285, | |
| "batches_completed": 250, | |
| "avg_batch_seconds": 13.27953750705719, | |
| "avg_active_workers": 7.603676611459359, | |
| "max_active_workers": 8, | |
| "configured_workers": 8 | |
| } |