Feature Extraction
Transformers
Joblib
Safetensors
MOJO
bulk RNA-seq
DNA methylation
biology
transcriptomics
epigenomics
multimodal
custom_code
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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3805e26c7b3ab895a99a0cb7cff2d3dc28ec81c52df0f41b000b2f03894c825f
- Size of remote file:
- 209 MB
- SHA256:
- 7181b903fe91eea5af6e79a7fb3e1bf69aba9fd936c98e5f02866b364e7f9531
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