Fill-Mask
Transformers
Safetensors
prokbert
bioinformatics
genomics
sequence embedding
genomic language models
nucleotide
dna-sequence
promoter-prediction
phage
custom_code
Instructions to use neuralbioinfo/prokbert-mini-c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neuralbioinfo/prokbert-mini-c with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="neuralbioinfo/prokbert-mini-c", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("neuralbioinfo/prokbert-mini-c", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Model for character level 2f61dc6
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