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InstaDeepAI
/
MOJO

Feature Extraction
Transformers
Joblib
Safetensors
MOJO
bulk RNA-seq
DNA methylation
biology
transcriptomics
epigenomics
multimodal
custom_code
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use InstaDeepAI/MOJO with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="InstaDeepAI/MOJO", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("InstaDeepAI/MOJO", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MOJO
Ctrl+K
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  • 1 contributor
History: 15 commits
mgelard's picture
mgelard
Add tokenizer config
5d66275 verified 6 months ago
  • data
    Upload 2 files 10 months ago
  • jax_params
    Upload 2 files 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    2.98 kB
    Upload MOJO 6 months ago
  • config.json
    857 Bytes
    Upload MOJO 6 months ago
  • model.safetensors
    209 MB
    xet
    Upload MOJO 11 months ago
  • mojo.py
    26.5 kB
    Upload MOJO 6 months ago
  • special_tokens_map.json
    3 Bytes
    Upload tokenizer 10 months ago
  • tokenizer.py
    9.08 kB
    Upload tokenizer 6 months ago
  • tokenizer_config.json
    630 Bytes
    Add tokenizer config 6 months ago
  • vocab_methylation.json
    660 Bytes
    Upload tokenizer 10 months ago
  • vocab_rnaseq.json
    660 Bytes
    Upload tokenizer 10 months ago