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: 342 Bytes
e63569d 359ff82 e63569d | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"eval_loss": 0.015715675428509712,
"eval_precision": 0.9807795554601095,
"eval_recall": 0.9879507647046099,
"eval_f1": 0.9843520993189067,
"eval_accuracy": 0.9961191832100342,
"eval_runtime": 4.3687,
"eval_samples_per_second": 1609.858,
"eval_steps_per_second": 0.916,
"epoch": 1.0,
"num_input_tokens_seen": 17104256.0
} |