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Synthyra
/
ESMFold2-600

Feature Extraction
Transformers
Safetensors
esmfold2
protein-language-model
fastplms
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Synthyra/ESMFold2-600 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Synthyra/ESMFold2-600 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Synthyra/ESMFold2-600", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Synthyra/ESMFold2-600", trust_remote_code=True)
    model = AutoModel.from_pretrained("Synthyra/ESMFold2-600", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ESMFold2-600
718 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 17 commits
lhallee's picture
lhallee
Update FastPLMs files from Synthyra/FastPLMs 32d9951 (PR 52: ESMFold2 noise cap, DPLM2 parity)
38fa0be verified 29 days ago
  • LICENSES
    Publish ESMFold2 small backbone checkpoint with FastPLMs runtime about 2 months ago
  • fastplms
    Update FastPLMs files from Synthyra/FastPLMs 32d9951 (PR 52: ESMFold2 noise cap, DPLM2 parity) 29 days ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    14.2 kB
    Update FastPLMs files from Synthyra/FastPLMs 32d9951 (PR 52: ESMFold2 noise cap, DPLM2 parity) 29 days ago
  • THIRD_PARTY_NOTICES.md
    4.77 kB
    Publish ESMFold2 small backbone checkpoint with FastPLMs runtime about 2 months ago
  • config.json
    3.21 kB
    Record the current runtime bundle identity for the embedded confidence release about 1 month ago
  • fastplms_bundle.py
    557 kB
    Update FastPLMs files from Synthyra/FastPLMs 32d9951 (PR 52: ESMFold2 noise cap, DPLM2 parity) 29 days ago
  • model.safetensors
    716 MB
    xet
    Embed evaluated confidence head and publish current training metrics about 1 month ago
  • modeling_fastplms.py
    8.71 kB
    Update FastPLMs files from Synthyra/FastPLMs 32d9951 (PR 52: ESMFold2 noise cap, DPLM2 parity) 29 days ago
  • preparation-record.json
    24.3 kB
    Record published checkpoint pins and validation status about 2 months ago
  • requirements.txt
    383 Bytes
    Update FastPLMs files from Synthyra/FastPLMs 32d9951 (PR 52: ESMFold2 noise cap, DPLM2 parity) 29 days ago