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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ModerRAS/AniFileBERT") model = AutoModelForTokenClassification.from_pretrained("ModerRAS/AniFileBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download exports/anime_filename_parser.metadata.json from ModerRAS/AniFileBERT: direct link, hf CLI and curl.
- Browser
- Download file 2 kB
-
https://huggingface.co/ModerRAS/AniFileBERT/resolve/main/exports/anime_filename_parser.metadata.json
- Command line
-
hf download hf://ModerRAS/AniFileBERT/exports/anime_filename_parser.metadata.json
-
curl -L -o anime_filename_parser.metadata.json https://huggingface.co/ModerRAS/AniFileBERT/resolve/main/exports/anime_filename_parser.metadata.json
2 kB
| { | |
| "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, | |
| 37 | |
| ], | |
| "max_abs_diff": 4.863739013671875e-05, | |
| "label_schema_version": 2, | |
| "num_labels": 37, | |
| "labels": [ | |
| "O", | |
| "B-TITLE_CHS", | |
| "I-TITLE_CHS", | |
| "B-TITLE_CHT", | |
| "I-TITLE_CHT", | |
| "B-TITLE_JPN", | |
| "I-TITLE_JPN", | |
| "B-TITLE_LATIN", | |
| "I-TITLE_LATIN", | |
| "B-TITLE_MIXED", | |
| "I-TITLE_MIXED", | |
| "B-PATH_TITLE_CHS", | |
| "I-PATH_TITLE_CHS", | |
| "B-PATH_TITLE_CHT", | |
| "I-PATH_TITLE_CHT", | |
| "B-PATH_TITLE_JPN", | |
| "I-PATH_TITLE_JPN", | |
| "B-PATH_TITLE_LATIN", | |
| "I-PATH_TITLE_LATIN", | |
| "B-PATH_TITLE_MIXED", | |
| "I-PATH_TITLE_MIXED", | |
| "B-PATH_SEASON", | |
| "I-PATH_SEASON", | |
| "B-SEASON", | |
| "I-SEASON", | |
| "B-EPISODE", | |
| "I-EPISODE", | |
| "B-SPECIAL", | |
| "I-SPECIAL", | |
| "B-GROUP", | |
| "I-GROUP", | |
| "B-RESOLUTION", | |
| "I-RESOLUTION", | |
| "B-SOURCE", | |
| "I-SOURCE", | |
| "B-TAG", | |
| "I-TAG" | |
| ], | |
| "id2label": { | |
| "0": "O", | |
| "1": "B-TITLE_CHS", | |
| "2": "I-TITLE_CHS", | |
| "3": "B-TITLE_CHT", | |
| "4": "I-TITLE_CHT", | |
| "5": "B-TITLE_JPN", | |
| "6": "I-TITLE_JPN", | |
| "7": "B-TITLE_LATIN", | |
| "8": "I-TITLE_LATIN", | |
| "9": "B-TITLE_MIXED", | |
| "10": "I-TITLE_MIXED", | |
| "11": "B-PATH_TITLE_CHS", | |
| "12": "I-PATH_TITLE_CHS", | |
| "13": "B-PATH_TITLE_CHT", | |
| "14": "I-PATH_TITLE_CHT", | |
| "15": "B-PATH_TITLE_JPN", | |
| "16": "I-PATH_TITLE_JPN", | |
| "17": "B-PATH_TITLE_LATIN", | |
| "18": "I-PATH_TITLE_LATIN", | |
| "19": "B-PATH_TITLE_MIXED", | |
| "20": "I-PATH_TITLE_MIXED", | |
| "21": "B-PATH_SEASON", | |
| "22": "I-PATH_SEASON", | |
| "23": "B-SEASON", | |
| "24": "I-SEASON", | |
| "25": "B-EPISODE", | |
| "26": "I-EPISODE", | |
| "27": "B-SPECIAL", | |
| "28": "I-SPECIAL", | |
| "29": "B-GROUP", | |
| "30": "I-GROUP", | |
| "31": "B-RESOLUTION", | |
| "32": "I-RESOLUTION", | |
| "33": "B-SOURCE", | |
| "34": "I-SOURCE", | |
| "35": "B-TAG", | |
| "36": "I-TAG" | |
| } | |
| } |