Text Classification
Transformers
Safetensors
Japanese
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use Aratako/Japanese-Novel-Reward-modernbert-ja-130m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aratako/Japanese-Novel-Reward-modernbert-ja-130m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Aratako/Japanese-Novel-Reward-modernbert-ja-130m")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Aratako/Japanese-Novel-Reward-modernbert-ja-130m") model = AutoModelForSequenceClassification.from_pretrained("Aratako/Japanese-Novel-Reward-modernbert-ja-130m", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 64ee2d33b6d0033590dd080e9b0c0ed1ca5971075ae8c5335148c5b6060fb7bc
- Size of remote file:
- 683 kB
- SHA256:
- 6158c9fdb4248cddf857689df627fde94e5a081f4c5188c43e06acdd70f26af2
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