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-28L-1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FishCaduceus/FishCaduceus-28L-1024 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="FishCaduceus/FishCaduceus-28L-1024", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("FishCaduceus/FishCaduceus-28L-1024", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
1447b14 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:167a10b76f4df187597703ca10060d50607da63feea9776113cb0b7336bcc66c
size 448611530
|