Instructions to use Synthyra/ESMFold2-Fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/ESMFold2-Fast with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Synthyra/ESMFold2-Fast", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Synthyra/ESMFold2-Fast", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| """ESMFold2 public classes, imported lazily to keep optional extras isolated.""" | |
| from __future__ import annotations | |
| from importlib import import_module | |
| from typing import TYPE_CHECKING, Any | |
| if TYPE_CHECKING: | |
| from .configuration_esmfold2 import ESMFold2Config as ESMFold2Config | |
| from .modeling_esmfold2 import ESMFold2Model as ESMFold2Model | |
| from .modeling_esmfold2 import ESMFold2Output as ESMFold2Output | |
| from .modeling_esmfold2_classification import ( | |
| ESMFold2ExperimentalForSequenceClassification as ESMFold2ExperimentalForSequenceClassification, | |
| ESMFold2ExperimentalForTokenClassification as ESMFold2ExperimentalForTokenClassification, | |
| ESMFold2ForSequenceClassification as ESMFold2ForSequenceClassification, | |
| ESMFold2ForTokenClassification as ESMFold2ForTokenClassification, | |
| ) | |
| from .modeling_esmfold2_experimental import ( | |
| ESMFold2ExperimentalModel as ESMFold2ExperimentalModel, | |
| ) | |
| from .reproducibility import seed_context as seed_context | |
| _EXPORT_MODULES = { | |
| "ESMFold2Config": ".configuration_esmfold2", | |
| "ESMFold2ExperimentalModel": ".modeling_esmfold2_experimental", | |
| "ESMFold2ExperimentalForSequenceClassification": ".modeling_esmfold2_classification", | |
| "ESMFold2ExperimentalForTokenClassification": ".modeling_esmfold2_classification", | |
| "ESMFold2ForSequenceClassification": ".modeling_esmfold2_classification", | |
| "ESMFold2ForTokenClassification": ".modeling_esmfold2_classification", | |
| "ESMFold2Model": ".modeling_esmfold2", | |
| "ESMFold2Output": ".modeling_esmfold2", | |
| "seed_context": ".reproducibility", | |
| } | |
| def __getattr__(name: str) -> Any: | |
| module_name = _EXPORT_MODULES.get(name) | |
| if module_name is None: | |
| raise AttributeError(f"module {__name__!r} has no attribute {name!r}") | |
| value = getattr(import_module(module_name, __name__), name) | |
| globals()[name] = value | |
| return value | |
| def __dir__() -> list[str]: | |
| return sorted(set(globals()) | set(_EXPORT_MODULES)) | |
| __all__ = list(_EXPORT_MODULES) | |