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
Download .gitmodules from ModerRAS/AniFileBERT: direct link, hf CLI and curl.
- Browser
- Download file 118 Bytes
-
https://huggingface.co/ModerRAS/AniFileBERT/resolve/87c7b59d1eb4e99b26a91c7dfdbea5c8470e81e1/.gitmodules
- Command line
-
hf download hf://ModerRAS/AniFileBERT@87c7b59d1eb4e99b26a91c7dfdbea5c8470e81e1/.gitmodules
-
curl -L -o .gitmodules https://huggingface.co/ModerRAS/AniFileBERT/resolve/87c7b59d1eb4e99b26a91c7dfdbea5c8470e81e1/.gitmodules
118 Bytes
| [submodule "datasets/AnimeName"] | |
| path = datasets/AnimeName | |
| url = https://huggingface.co/datasets/ModerRAS/AnimeName | |