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
| [package] | |
| name = "anifilebert-virtual-dataset-generator" | |
| version = "0.1.0" | |
| edition = "2021" | |
| [dependencies] | |
| anyhow = "1.0" | |
| clap = { version = "4.5", features = ["derive"] } | |
| rand = "0.8" | |
| rayon = "1.10" | |
| serde = { version = "1.0", features = ["derive"] } | |
| serde_json = "1.0" | |