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
| { | |
| "model_dir": ".", | |
| "output": "exports\\anime_filename_parser.onnx", | |
| "max_length": 128, | |
| "sample": "[ANi] ่ฌ้็่่่ฒ S2 - 03 [1080P][WEB-DL]", | |
| "logits_shape": [ | |
| 1, | |
| 128, | |
| 15 | |
| ], | |
| "max_abs_diff": 4.00543212890625e-05 | |
| } |