Instructions to use AI4Protein/Prime_690M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AI4Protein/Prime_690M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AI4Protein/Prime_690M", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AI4Protein/Prime_690M", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +0 -1
config.json
CHANGED
|
@@ -1,5 +1,4 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "oracle_checkpoint/8_proteingym_NoStability_0.469_proteingym_Activity_0.505_proteingym_Stability_0.567/1_DDG_0.477_DTM_0.437_proteingym_NoStability_0.467_proteingym_Activity_0.504_proteingym_Stability_0.579",
|
| 3 |
"architectures": [
|
| 4 |
"ProPrimeForPretraining"
|
| 5 |
],
|
|
|
|
| 1 |
{
|
|
|
|
| 2 |
"architectures": [
|
| 3 |
"ProPrimeForPretraining"
|
| 4 |
],
|