Token Classification
Transformers
ONNX
Safetensors
English
Japanese
Chinese
bert
anime
filename-parsing
Instructions to use chivehao/AniFileBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chivehao/AniFileBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="chivehao/AniFileBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("chivehao/AniFileBERT") model = AutoModelForTokenClassification.from_pretrained("chivehao/AniFileBERT") - Notebooks
- Google Colab
- Kaggle
| __pycache__/ | |
| *.pyc | |
| .venv/ | |
| .pytest_cache/ | |
| .ruff_cache/ | |
| logs/ | |
| checkpoints/ | |
| test_checkpoints*/ | |
| ab_checkpoints*/ | |
| *.log | |
| *.onnx.data | |
| data/**/*.jsonl | |
| !data/synthetic_small.jsonl | |
| !data/test_smoke.jsonl | |
| data/**/*.db | |
| data/**/*.sqlite | |