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, device_map="auto")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("InstaDeepAI/MOJO", trust_remote_code=True, dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00959d2eb01924945a358a940e171b15a11750e58b9671b92b9bb9a8cabfc2f0
- Size of remote file:
- 209 MB
- SHA256:
- 98055d27c5646170a1650531a4f410cdee34d51adf9efeee25723c77af8ef0a4
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