Instructions to use InstaDeepAI/nucleotide-transformer-2.5b-multi-species with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InstaDeepAI/nucleotide-transformer-2.5b-multi-species with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="InstaDeepAI/nucleotide-transformer-2.5b-multi-species")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("InstaDeepAI/nucleotide-transformer-2.5b-multi-species") model = AutoModelForMaskedLM.from_pretrained("InstaDeepAI/nucleotide-transformer-2.5b-multi-species") - Notebooks
- Google Colab
- Kaggle
Error when trying to generate embeddings "IndexError: index out of range in self"
#9 opened over 1 year ago
by
Larel5
Adding `safetensors` variant of this model
#8 opened over 1 year ago
by
SFconvertbot
Model Embedding and vocab size mismatch.
#7 opened about 2 years ago
by
pg20sanger
Adding `safetensors` variant of this model
#6 opened about 2 years ago
by
SFconvertbot
[AUTOMATED] Model Memory Requirements
#5 opened over 2 years ago
by
model-sizer-bot
[CLS] for donwstream tasks.
1
#4 opened over 2 years ago
by
jinyuan22
how can i train that on my rna sequence dataset
#3 opened almost 3 years ago
by
zepoch