Instructions to use ibm-research/materials.pos-egnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ibm-research/materials.pos-egnn with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ibm-research/materials.pos-egnn", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - AnemoI
How to use ibm-research/materials.pos-egnn with AnemoI:
from anemoi.inference.runners.default import DefaultRunner from anemoi.inference.config.run import RunConfiguration # Create Configuration config = RunConfiguration(checkpoint = {"huggingface":"ibm-research/materials.pos-egnn"}) # Load Runner runner = DefaultRunner(config) - MedVAE
How to use ibm-research/materials.pos-egnn with MedVAE:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
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