Fill-Mask
Transformers
PyTorch
English
caduceus
DNA
genomics
fish
Caduceus
masked-language-model
nucleotide-modeling
foundation-model
reverse-complement
custom-code
FishCaduceus
custom_code
Instructions to use FishCaduceus/FishCaduceus-20L-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FishCaduceus/FishCaduceus-20L-512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="FishCaduceus/FishCaduceus-20L-512", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("FishCaduceus/FishCaduceus-20L-512", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b2403582997f818653d6bc8b28b1151972194b460446f0fa7f93098ff63b2b7
- Size of remote file:
- 83.6 MB
- SHA256:
- 53afc6700732c870776e14c3b6d636733ec923cd860924534f34646fcf4e337d
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