Fill-Mask
Transformers
PyTorch
caduceus
biology
genomics
dna
oryza-sativa
rice
variant-effect-prediction
masked-language-modeling
mamba
custom_code
Instructions to use xxl0001/COD-PlantCAD-Rice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xxl0001/COD-PlantCAD-Rice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="xxl0001/COD-PlantCAD-Rice", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("xxl0001/COD-PlantCAD-Rice", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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