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
set gpt-5.4-mini default token pricing
Browse files
tools/llm_relabel_rows.py
CHANGED
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@@ -151,8 +151,8 @@ def parse_args() -> argparse.Namespace:
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p.add_argument("--checkpoint-rows", type=int, default=100, help="Write checkpoint every N processed rows")
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p.add_argument("--failure-log", default="reports/llm_relabel_failures.log", help="Failure log path")
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p.add_argument("--perf-log", default="", help="Optional JSON perf summary path")
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-
p.add_argument("--usd-per-1m-input", type=float, default=0.
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-
p.add_argument("--usd-per-1m-output", type=float, default=
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p.add_argument(
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"--user-agent",
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default="Codex Desktop/0.133.0-alpha.1 (Windows 10.0.22631; x86_64) unknown (Codex Desktop; 26.519.41501)",
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| 151 |
p.add_argument("--checkpoint-rows", type=int, default=100, help="Write checkpoint every N processed rows")
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| 152 |
p.add_argument("--failure-log", default="reports/llm_relabel_failures.log", help="Failure log path")
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| 153 |
p.add_argument("--perf-log", default="", help="Optional JSON perf summary path")
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| 154 |
+
p.add_argument("--usd-per-1m-input", type=float, default=0.75, help="Input token price (USD per 1M tokens)")
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| 155 |
+
p.add_argument("--usd-per-1m-output", type=float, default=4.5, help="Output token price (USD per 1M tokens)")
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p.add_argument(
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"--user-agent",
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default="Codex Desktop/0.133.0-alpha.1 (Windows 10.0.22631; x86_64) unknown (Codex Desktop; 26.519.41501)",
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