Instructions to use Aratako/Japanese-Novel-Reward-30m-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aratako/Japanese-Novel-Reward-30m-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Aratako/Japanese-Novel-Reward-30m-v2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Aratako/Japanese-Novel-Reward-30m-v2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- deb0c899e083c1ba1e4cd74b08edd4298e1b27a5960aef6d410ba8ea11eb6b64
- Size of remote file:
- 147 MB
- SHA256:
- fd6e302b976075219ecaa4b5d38f3feb6c79c002f42ced39ee79bbcb7e583575
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