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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#8 opened over 1 year ago
by
SFconvertbot
Adding `safetensors` variant of this model
#7 opened over 2 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#6 opened almost 3 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#5 opened almost 3 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#3 opened about 3 years ago
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SFconvertbot
IndexError: index out of range in self
4
#2 opened about 3 years ago
by
phosseini