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Synthyra
/
ESM2-8M

Fill-Mask
Transformers
Safetensors
fast_esm
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use Synthyra/ESM2-8M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Synthyra/ESM2-8M with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="Synthyra/ESM2-8M", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForMaskedLM
    model = AutoModelForMaskedLM.from_pretrained("Synthyra/ESM2-8M", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ESM2-8M
30.2 MB
Ctrl+K
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  • 1 contributor
History: 141 commits
lhallee's picture
lhallee
Upload modeling_fastesm.py with huggingface_hub
842e401 verified 18 days ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • LICENSE
    1.2 kB
    Upload LICENSE with huggingface_hub about 1 month ago
  • README.md
    8.46 kB
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  • config.json
    1.15 kB
    Upload config 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
    30.1 MB
    xet
    Upload FastEsmForMaskedLM 2 months ago
  • modeling_fastesm.py
    78.7 kB
    Upload modeling_fastesm.py with huggingface_hub 18 days ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer 3 months ago
  • tokenizer_config.json
    1.16 kB
    Upload tokenizer 2 months ago
  • vocab.txt
    93 Bytes
    Upload tokenizer 3 months ago