Feature Extraction
Transformers
genatator_pipeline
genomics
gene-annotation
dna-language-models
biology
ab-initio
custom_code
Instructions to use shmelev/genatator-pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shmelev/genatator-pipeline with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="shmelev/genatator-pipeline", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shmelev/genatator-pipeline", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
gettheworkdone
Merge pull request #23 from gettheworkdone/codex/optimize-gene-finding-memory-usage
1ecf11c unverified