Feature Extraction
Transformers
PyTorch
Safetensors
English
modernbert
genomics
nucleotide
dna
sequence-modeling
biology
bioinformatics
electra
Instructions to use FreakingPotato/NucEL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FreakingPotato/NucEL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="FreakingPotato/NucEL")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("FreakingPotato/NucEL") model = AutoModel.from_pretrained("FreakingPotato/NucEL") - Notebooks
- Google Colab
- Kaggle
Model and tokenizer definition
#1
by chio4696 - opened
Hello,
Could you upload your model and tokenizer definition?
Hi,
I'm sorry for not getting back to you sooner. I have updated the code base accordingly.
FreakingPotato changed discussion status to closed