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
File size: 381 Bytes
7f87a1d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | [package]
name = "rust_dmhy_template_apply"
version = "0.1.0"
edition = "2021"
[dependencies]
anyhow = "1"
chrono = { version = "0.4", default-features = false, features = ["clock", "std"] }
clap = { version = "4", features = ["derive"] }
once_cell = "1"
rayon = "1"
regex = "1"
serde = { version = "1", features = ["derive"] }
serde_json = "1"
[dev-dependencies]
tempfile = "3"
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