SagiPolaczek moshe-raboh commited on
Commit
c62afba
1 Parent(s): 603c70e

Update README.md (#2)

Browse files

- Update README.md (4397b585b4857bc8d0b12b4a337597e3fdf48272)


Co-authored-by: Moshe Raboh <[email protected]>

Files changed (1) hide show
  1. README.md +9 -2
README.md CHANGED
@@ -41,7 +41,14 @@ pip install git+https://github.com/BiomedSciAI/biomed-multi-alignment.git
41
 
42
  A simple example for a task already supported by `ibm/biomed.omics.bl.sm.ma-ted-400m`:
43
  ```python
 
44
 
 
 
 
 
 
 
45
 
46
  # Load Model
47
  model = Mammal.from_pretrained("ibm/biomed.omics.bl.sm.ma-ted-400m.dti_bindingdb_pkd")
@@ -68,8 +75,8 @@ batch_dict = nn_model.forward_encoder_only([sample_dict])
68
  batch_dict = DtiBindingdbKdTask.process_model_output(
69
  batch_dict,
70
  scalars_preds_processed_key="model.out.dti_bindingdb_kd",
71
- norm_y_mean=norm_y_mean,
72
- norm_y_std=norm_y_std,
73
  )
74
  ans = {
75
  "model.out.dti_bindingdb_kd": float(batch_dict["model.out.dti_bindingdb_kd"][0])
 
41
 
42
  A simple example for a task already supported by `ibm/biomed.omics.bl.sm.ma-ted-400m`:
43
  ```python
44
+ import os
45
 
46
+ from fuse.data.tokenizers.modular_tokenizer.op import ModularTokenizerOp
47
+ from fuse.data.utils.collates import CollateDefault
48
+
49
+ from mammal.examples.dti_bindingdb_kd.task import DtiBindingdbKdTask
50
+ from mammal.keys import CLS_PRED, SCORES
51
+ from mammal.model import Mammal
52
 
53
  # Load Model
54
  model = Mammal.from_pretrained("ibm/biomed.omics.bl.sm.ma-ted-400m.dti_bindingdb_pkd")
 
75
  batch_dict = DtiBindingdbKdTask.process_model_output(
76
  batch_dict,
77
  scalars_preds_processed_key="model.out.dti_bindingdb_kd",
78
+ norm_y_mean=5.79384684128215,
79
+ norm_y_std=1.33808027428196,
80
  )
81
  ans = {
82
  "model.out.dti_bindingdb_kd": float(batch_dict["model.out.dti_bindingdb_kd"][0])