Instructions to use AmelieSchreiber/esm2_t12_35M_qlora_binding_sites_v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AmelieSchreiber/esm2_t12_35M_qlora_binding_sites_v0 with PEFT:
from peft import PeftModel from transformers import AutoModelForTokenClassification base_model = AutoModelForTokenClassification.from_pretrained("facebook/esm2_t12_35M_UR50D") model = PeftModel.from_pretrained(base_model, "AmelieSchreiber/esm2_t12_35M_qlora_binding_sites_v0") - Notebooks
- Google Colab
- Kaggle
Commit ·
034b0ba
1
Parent(s): 1c87195
Update README.md
Browse files
README.md
CHANGED
|
@@ -39,4 +39,7 @@ Test metrics:
|
|
| 39 |
'eval_f1': 0.35833816875074714,
|
| 40 |
'eval_auc': 0.8544971814140561,
|
| 41 |
'eval_mcc': 0.40290081143832884}
|
| 42 |
-
```
|
|
|
|
|
|
|
|
|
|
|
|
| 39 |
'eval_f1': 0.35833816875074714,
|
| 40 |
'eval_auc': 0.8544971814140561,
|
| 41 |
'eval_mcc': 0.40290081143832884}
|
| 42 |
+
```
|
| 43 |
+
|
| 44 |
+
The metrics on the PDB datasets from [this paper](https://github.com/hamzagamouh/pt-lm-gnn) can be
|
| 45 |
+
[found here](https://huggingface.co/AmelieSchreiber/esmt12_35M_qlora_binding_sites_v0/blob/main/pdb_structure_metrics.txt).
|