Feature Extraction
Transformers
Safetensors
esmfold2
biology
protein-structure
multimodal-protein-model
custom_code
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, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 830 Bytes
fb8a87c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | """Re-exports of the canonical SPI dataclasses from input_builder.
This module exists so the HF processor and downstream code can import the
ESMFold2 input types from a single namespace without picking up internal-only
sibling utilities. The actual definitions live in
``esm.utils.structure.input_builder``.
"""
from .esmfold2_msa import MSA
from .esmfold2_parsing import FastaEntry
from .esmfold2_input_builder import (
CovalentBond,
DistogramConditioning,
DNAInput,
LigandInput,
Modification,
ProteinInput,
RNAInput,
StructurePredictionInput,
)
__all__ = [
"FastaEntry",
"MSA",
"Modification",
"ProteinInput",
"RNAInput",
"DNAInput",
"LigandInput",
"DistogramConditioning",
"CovalentBond",
"StructurePredictionInput",
]
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