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
File size: 630 Bytes
e308d04 5d66275 e308d04 5d66275 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | {
"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
]
}
} |