Instructions to use InstaDeepAI/nucleotide-transformer-500m-1000g with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InstaDeepAI/nucleotide-transformer-500m-1000g with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="InstaDeepAI/nucleotide-transformer-500m-1000g")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("InstaDeepAI/nucleotide-transformer-500m-1000g") model = AutoModelForMaskedLM.from_pretrained("InstaDeepAI/nucleotide-transformer-500m-1000g", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add TF weights (#4)
- Add TF weights (016282b3feeda19b06499fd8902924de138eae0e) Co-authored-by: Matthew Carrigan <Rocketknight1@users.noreply.huggingface.co>2c07731
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