Instructions to use InstaDeepAI/nucleotide-transformer-2.5b-1000g with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InstaDeepAI/nucleotide-transformer-2.5b-1000g with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="InstaDeepAI/nucleotide-transformer-2.5b-1000g")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("InstaDeepAI/nucleotide-transformer-2.5b-1000g") model = AutoModelForMaskedLM.from_pretrained("InstaDeepAI/nucleotide-transformer-2.5b-1000g") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a66bf8436d3d6a72af4cfc13bc83e1946d61ec0cf712ec0614b4fa28209cc92
- Size of remote file:
- 278 MB
- SHA256:
- d9a85b56f5c80d99de59f436219f8db8565774fb2a04a3e31c8619efb7aa60b1
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