Other
Transformers
Safetensors
spearmint
feature-extraction
immunology
stability
pMHC
epitope
neoantigen
personalized_immunotherapy
custom_code
Instructions to use dkarthikeyan1/spearmint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dkarthikeyan1/spearmint with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dkarthikeyan1/spearmint", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "SpearmintForStabilityPrediction" | |
| ], | |
| "assay_emb_dim": 32, | |
| "assay_types": [ | |
| "SPA", | |
| "Purified_Fluor", | |
| "Cellular_Fluor", | |
| "Other" | |
| ], | |
| "attention_heads": 20, | |
| "auto_map": { | |
| "AutoConfig": "configuration_spearmint.SpearmintConfig", | |
| "AutoModel": "modeling_spearmint.SpearmintForStabilityPrediction" | |
| }, | |
| "default_temp_c": 37.0, | |
| "dropout": 0.0, | |
| "embed_dim": 1280, | |
| "film_hidden_dim": 512, | |
| "hidden_dim": 512, | |
| "model_type": "spearmint", | |
| "num_assays": 4, | |
| "num_layers": 33, | |
| "temp_emb_dim": 8, | |
| "token_dropout": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.30.2", | |
| "use_multimer": true | |
| } | |