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Synthyra
/
Profluent-E1-600M

Fill-Mask
Transformers
Safetensors
E1
protein-language-model
fastplms
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Synthyra/Profluent-E1-600M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Synthyra/Profluent-E1-600M with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="Synthyra/Profluent-E1-600M", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForMaskedLM
    model = AutoModelForMaskedLM.from_pretrained("Synthyra/Profluent-E1-600M", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Profluent-E1-600M / fastplms /models /e1
207 kB
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  • 1 contributor
History: 2 commits
lhallee's picture
lhallee
Update FastPLMs runtime and model cards
faef572 verified about 4 hours ago
  • __init__.py
    0 Bytes
    Update FastPLMs runtime files 2 days ago
  • attention.py
    17.6 kB
    Update FastPLMs runtime and model cards about 4 hours ago
  • cache.py
    9.99 kB
    Update FastPLMs runtime and model cards about 4 hours ago
  • modeling_e1.py
    94.6 kB
    Update FastPLMs runtime and model cards about 4 hours ago
  • preparation.py
    10.6 kB
    Update FastPLMs runtime and model cards about 4 hours ago
  • retrieval.py
    71.3 kB
    Update FastPLMs runtime and model cards about 4 hours ago
  • tokenizer.json
    2.51 kB
    Update FastPLMs runtime files 2 days ago