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Synthyra
/
Profluent-E1-600M

Fill-Mask
Transformers
Safetensors
E1
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, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Profluent-E1-600M
2.57 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 131 commits
lhallee's picture
lhallee
Upload modeling_e1.py with huggingface_hub
c996c0d verified 29 days ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • LICENSE
    18.6 kB
    Upload LICENSE with huggingface_hub about 2 months ago
  • README.md
    8.51 kB
    Upload README.md with huggingface_hub about 2 months ago
  • config.json
    1.16 kB
    Upload config about 2 months ago
  • embedding_mixin.py
    19.9 kB
    Upload embedding_mixin.py with huggingface_hub about 2 months ago
  • entrypoint_setup.py
    895 Bytes
    Upload entrypoint_setup.py with huggingface_hub 2 months ago
  • model.safetensors
    2.57 GB
    xet
    Upload E1ForMaskedLM 3 months ago
  • modeling_e1.py
    136 kB
    Upload modeling_e1.py with huggingface_hub 29 days ago
  • tokenizer.json
    2.64 kB
    Upload tokenizer.json with huggingface_hub about 2 months ago