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:
- 012fc31e240cffe6fa8d91fbddb41052a0b6bafadfaf5c1d48762729efa1b22b
- Size of remote file:
- 278 MB
- SHA256:
- 1be40752623341cb0d0403114ab25ef4321c606045b7cd4bc2652c9edaf98fe7
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