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:
- 8bcb1d2c3e33956315db6eec4044a2c05a1aad20ef49e8d8470270507bba7996
- Size of remote file:
- 9.91 GB
- SHA256:
- dc2b71529762aa209c3546b27b40acf09fdc093a1e18f077870fd0c8c13ca20a
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