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: 232 Bytes
e63569d | 1 2 3 4 5 6 7 8 9 10 11 12 13 | --extra-index-url https://download.pytorch.org/whl/cu126 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 |