Text Classification
Transformers
Safetensors
Japanese
English
bekko_system_one
feature-extraction
modernbert
decision-model
typed-decisions
saihai
classification
custom-code
custom_code
Instructions to use hotchpotch/saihai-v1-310m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hotchpotch/saihai-v1-310m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hotchpotch/saihai-v1-310m", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hotchpotch/saihai-v1-310m", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K