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recursionpharma
/
OpenPhenom

Feature Extraction
Transformers
Safetensors
MAE
custom_code
Model card Files Files and versions
xet
Community
23

Instructions to use recursionpharma/OpenPhenom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use recursionpharma/OpenPhenom with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="recursionpharma/OpenPhenom", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("recursionpharma/OpenPhenom", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle

Write the model card

#4
by kiankaydee - opened Nov 5, 2024
base: refs/heads/main
←
from: refs/pr/4
Discussion Files changed
+1050
-836
Initial commit5cfdc345
Create NCCL 4.0 LICENSEc6638455
Update README.md5d11d07a
Update README.mdf8d67565
Update README.mde5e2b12d
some baseline code for the repo13c7b4e2
Update README.md71c1cb67
Merge pull request #1 from recursionpharma/new-sentenceb0948be9
Update README.md8914ffcd
Merge pull request #3 from recursionpharma/kian-kd-bionemo8135e318
fix reqscbdd05eb
Merge pull request #4 from recursionpharma/more-code86fd2762
dump code8f0bd340
dump373b8b8d
fix4bf64076
Merge pull request #7 from recursionpharma/more-code3d9eac16
Reformat and add comments (#9)560d7383
added CVPR links (#13)b3e68bb1
add mae model (#15)68772890
adding deps reconstruction notebook (#17)e6356255
kiankaydee
Recursion Pharmaceuticals org Nov 5, 2024
No description provided.
recursionaut changed pull request status to merged Nov 5, 2024
huggingface compatible changes49f08fda

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