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: 347 Bytes
e63569d 67d8016 e63569d | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"eval_loss": 0.00017842209490481764,
"eval_precision": 0.9998627806136451,
"eval_recall": 0.9998627806136451,
"eval_f1": 0.9998627806136451,
"eval_accuracy": 0.9999632255180959,
"eval_runtime": 2.8101,
"eval_samples_per_second": 1911.682,
"eval_steps_per_second": 3.914,
"epoch": 10.0,
"num_input_tokens_seen": 1368179200.0
} |