Image 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("image-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: 1,252 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 35 36 37 38 39 40 41 42 43 44 45 46 47 | import io
import subprocess
import typing as T
from pathlib import Path
PathLike = T.Union[str, Path]
PathOrBuffer = T.Union[PathLike, io.StringIO]
def run_subprocess_with_errorcheck(
*popenargs,
capture_output: bool = False,
quiet: bool = False,
env: dict[str, str] | None = None,
shell: bool = False,
executable: str | None = None,
**kws,
) -> subprocess.CompletedProcess:
"""A command similar to subprocess.run, however the errormessage will
contain the stderr when using this function. This makes it significantly
easier to diagnose issues.
"""
try:
if capture_output:
stdout = subprocess.PIPE
elif quiet:
stdout = subprocess.DEVNULL
else:
stdout = None
p = subprocess.run(
*popenargs,
stderr=subprocess.PIPE,
stdout=stdout,
check=True,
env=env,
shell=shell,
executable=executable,
**kws,
)
except subprocess.CalledProcessError as e:
raise RuntimeError(
f"Command failed with errorcode {e.returncode}." f"\n\n{e.stderr.decode()}"
)
return p
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