Feature Extraction
Transformers
Safetensors
protenrich
proteins
bioinformatics
drug-discovery
custom_code
Instructions to use SaeedLab/ProtEnrich-ProGen2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SaeedLab/ProtEnrich-ProGen2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SaeedLab/ProtEnrich-ProGen2", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SaeedLab/ProtEnrich-ProGen2", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "alpha_max": 0.3, | |
| "auto_map": { | |
| "AutoConfig": "configuration_protenrich.ProtEnrichConfig", | |
| "AutoModel": "modeling_protenrich.ProtEnrichModel", | |
| "AutoModelForSequenceClassification": "modeling_protenrich.ProtEnrichForSequenceClassification" | |
| }, | |
| "architectures": [ | |
| "ProtEnrichModel" | |
| ], | |
| "dtype": "float32", | |
| "dyn_dim": 20, | |
| "embed_dim": 1024, | |
| "model_type": "protenrich", | |
| "project_dim": 256, | |
| "seq_dim": 1536, | |
| "struct_dim": 1024, | |
| "transformers_version": "4.57.3" | |
| } | |