Feature Extraction
Transformers
Safetensors
virtual_cell_patient
biology
genomics
single-cell-rna-seq
patient-classification
custom_code
Instructions to use ConvergeBio/virtual-cell-patient with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConvergeBio/virtual-cell-patient with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ConvergeBio/virtual-cell-patient", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ConvergeBio/virtual-cell-patient", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,028 Bytes
6e5b188 | 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 33 34 35 36 37 38 39 40 41 42 | {
"model_type": "virtual_cell_patient",
"architectures": ["VirtualCellPatientModel"],
"auto_map": {
"AutoConfig": "modeling_virtual_cell.VirtualCellPatientConfig",
"AutoModel": "modeling_virtual_cell.VirtualCellPatientModel"
},
"n_genes": 18301,
"embed_dim": 512,
"hidden_dim": [4096, 1024],
"dropout": 0.1,
"residual": false,
"activation": "prelu",
"attention_hidden_dim": 512,
"num_classes": 10,
"classifier_dropout": 0.1,
"id2label": {
"0": "oncological",
"1": "immune_inflammatory",
"2": "neurological",
"3": "metabolic_vascular",
"4": "gastrointestinal",
"5": "respiratory",
"6": "epithelial_barrier",
"7": "sensory_specialized",
"8": "healthy_control",
"9": "other"
},
"label2id": {
"oncological": 0,
"immune_inflammatory": 1,
"neurological": 2,
"metabolic_vascular": 3,
"gastrointestinal": 4,
"respiratory": 5,
"epithelial_barrier": 6,
"sensory_specialized": 7,
"healthy_control": 8,
"other": 9
}
}
|