Zero-Shot Classification
Transformers
ONNX
Safetensors
English
watersheep
feature-extraction
decision-model
calibration
multi-label
custom_code
Instructions to use samratduttaofficial/WaterSheep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use samratduttaofficial/WaterSheep with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="samratduttaofficial/WaterSheep", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("samratduttaofficial/WaterSheep", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add preprint and Buy Me a Coffee cards
Browse files
README.md
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<p align="center">
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<a href="https://doi.org/10.13140/RG.2.2.28606.45122"><img src="https://samratduttaofficial.github.io/WaterSheep/preprint.svg" alt="Read the preprint" width="400"></a>
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<a href="https://buymeacoffee.com/samratdutta"><img src="https://samratduttaofficial.github.io/WaterSheep/coffee.svg" alt="Buy me a coffee" width="400"></a>
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</p>
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