Text Classification
Transformers
bert
biology
genomics
dna
variant-effect-prediction
dnabert
deepvregulome
transcription-factors
histone-modifications
ENCODE
Instructions to use duttaprat/DeepVRegulome with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use duttaprat/DeepVRegulome with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="duttaprat/DeepVRegulome")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("duttaprat/DeepVRegulome") model = AutoModelForSequenceClassification.from_pretrained("duttaprat/DeepVRegulome") - Notebooks
- Google Colab
- Kaggle
| {"do_lower_case": false, "max_len": 512} |