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")# 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
- Xet hash:
- 25273b006a51b1cdf04a81ce70b4bde1a82bf2beef7db9378688b32cd5d9a596
- Size of remote file:
- 1.94 GB
- SHA256:
- 7a0f67012c2c92009663a561617e980386893f55e595169d9ee3dac840a66c50
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