Text Classification
Transformers
Safetensors
Japanese
qwen2
Generated from Trainer
text-embeddings-inference
Instructions to use Aratako/Japanese-Novel-Reward-TinySwallow-1.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aratako/Japanese-Novel-Reward-TinySwallow-1.5B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Aratako/Japanese-Novel-Reward-TinySwallow-1.5B")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Aratako/Japanese-Novel-Reward-TinySwallow-1.5B") model = AutoModelForSequenceClassification.from_pretrained("Aratako/Japanese-Novel-Reward-TinySwallow-1.5B", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 4c112001310ee9427b63a69197c4e803d3028ca92f91981b8a20d70541a6153e
- Size of remote file:
- 690 kB
- SHA256:
- 085b06c6d166d555162315f560da0a574ac155a39b050b402fbb97fd2d9eefa0
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