Feature Extraction
Transformers
Joblib
Safetensors
MOJO
bulk RNA-seq
DNA methylation
biology
transcriptomics
epigenomics
multimodal
custom_code
Instructions to use InstaDeepAI/MOJO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InstaDeepAI/MOJO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="InstaDeepAI/MOJO", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("InstaDeepAI/MOJO", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "tokenizer_class": "MOJOTokenizer", | |
| "n_expressions_bins": { | |
| "rnaseq": 64, | |
| "methylation": 64 | |
| }, | |
| "min_omic_value": { | |
| "rnaseq": 0.0, | |
| "methylation": 0.006863548701544 | |
| }, | |
| "max_omic_value": { | |
| "rnaseq": 1.0, | |
| "methylation": 0.992831582796998 | |
| }, | |
| "use_max_normalization": { | |
| "rnaseq": true, | |
| "methylation": false | |
| }, | |
| "normalization_factor": { | |
| "rnaseq": 5.52786861525666, | |
| "methylation": 1.0 | |
| }, | |
| "prepend_cls_token": false, | |
| "fixed_sequence_length": 17152, | |
| "unpadded_length": 17116, | |
| "auto_map": { | |
| "AutoTokenizer": [ | |
| "tokenizer.MOJOTokenizer", | |
| null | |
| ] | |
| } | |
| } |