Downloads · 30 days
8
42% of all-time downloads
BatatasLM/BatatasLM-MS12-28L
BatatasLM-MS12-28L is a fill-mask model from BatatasLM. Use it when you need the model to fill a missing word. It is set up for transformers.
BatatasLM pretrained DNA foundation model: BatatasLM-MS12-28Lpretrain.
Downloads · 30 days
8
42% of all-time downloads
All-time downloads
19
Public
Repo size
418 MB
Likes
0
Public
Click a slice to open those files.
.bin418 MB · 100%
From the Hugging Face model README
BatatasLM pretrained DNA foundation model: BatatasLM-MS12-28L_pretrain.
The configuration declares model_type caduceus and CaduceusForMaskedLM. Caduceus, Mamba, RCPS, architectures, auto_map, Python module names, and class names are technical identifiers retained for loading.
This model uses BatatasLM-MS12-Pretraining-Data, a 12-species multi-species plant genome collection. Sequence length is 4096 bp.
Research involving DNA sequence representation and masked-language-modeling workflows.
Configuration, pytorch_model.bin, tokenizer files, and custom Python modules referenced by auto_map.
from transformers import AutoModelForMaskedLM
model = AutoModelForMaskedLM.from_pretrained("BatatasLM-MS12-28L_pretrain", trust_remote_code=True)
This card does not assert publication status, benchmark metrics, or a performance conclusion.
BatatasLM: A Sweetpotato-Centric DNA Foundation Model.
Yiliang Wei - [email protected]