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
File size: 246 Bytes
be5f706 e63569d be5f706 e63569d 24a2cb6 be5f706 e63569d be5f706 359ff82 be5f706 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"model_dir": ".",
"output": "exports\\anime_filename_parser.onnx",
"max_length": 128,
"sample": "[ANi] 葬送的芙莉莲 S2 - 03 [1080P][WEB-DL]",
"logits_shape": [
1,
128,
15
],
"max_abs_diff": 4.00543212890625e-05
} |