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
| [project] | |
| name = "anifilebert" | |
| version = "0.1.0" | |
| description = "Tiny BERT token-classification model and tooling for parsing anime release filenames." | |
| readme = "README.md" | |
| requires-python = ">=3.11" | |
| license = { text = "Apache-2.0" } | |
| dependencies = [ | |
| "accelerate==1.13.0", | |
| "datasets==4.8.5", | |
| "numpy==2.4.5", | |
| "onnx==1.21.0", | |
| "onnxruntime==1.26.0", | |
| "onnxscript==0.7.0", | |
| "seqeval==1.2.2", | |
| "tensorboard>=2.14.0", | |
| "torch==2.12.0+cu126", | |
| "transformers==5.8.1", | |
| ] | |
| [project.urls] | |
| Repository = "https://huggingface.co/ModerRAS/AniFileBERT" | |
| [tool.uv] | |
| package = false | |
| environments = ["sys_platform == 'win32'"] | |
| [tool.uv.sources] | |
| torch = [ | |
| { index = "pytorch-cu126", marker = "platform_system == 'Windows'" }, | |
| ] | |
| [[tool.uv.index]] | |
| name = "pytorch-cu126" | |
| url = "https://download.pytorch.org/whl/cu126" | |
| explicit = true | |