Feature Extraction
Transformers
Safetensors
English
squeez-pooled
winnow
headroom
squeez
context-compression
coding-agents
tool-output
custom_code
Instructions to use rbk4209/winnow-pooled-32m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rbk4209/winnow-pooled-32m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="rbk4209/winnow-pooled-32m", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rbk4209/winnow-pooled-32m", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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